Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort.

Concept Drift Complexity for Assessing Sampling-Induced Concept Drift in Class-Imbalanced Data Streams
Hajmohammed, M., Chountas, Panagiotis and Chaussalet, Thierry J. 2024. Concept Drift Complexity for Assessing Sampling-Induced Concept Drift in Class-Imbalanced Data Streams. 2024 IEEE 12th International Conference on Intelligent Systems (IS). Varna, Bulgaria 29 - 31 Aug 2024 IEEE . pp. 1-5 https://doi.org/10.1109/is61756.2024.10705246

A Concept Drift Based Approach To Evaluating Model Performance And Theoretical Lifespan
Hajmohammed, Mustafa, Chountas, Panagiotis and Chaussalet, Thierry J. 2024. A Concept Drift Based Approach To Evaluating Model Performance And Theoretical Lifespan. IEEE 14th International Conference on Pattern Recognition Systems (ICPRS). London, United Kingdom 15 - 18 Jul 2024 IEEE . pp. 1-6 https://doi.org/10.1109/icprs62101.2024.10677806

Understanding the genetic complexity of puberty timing across the allele frequency spectrum.
Kentistou, K., Kaisinger, L., Stankovic, S., Vaudel, M., Mendes de Oliveira, Edson, Messina, A., Walters, R., Liu, Xiaoxi, Busch, Alexander S., Helgason, Hannes, Thompson, Deborah J., Santoni, F., Petricek, K., Zouaghi, Yassine, Huang-Doran, Isabel, Gudbjartsson, D., Bratland, Eirik, Lin, Kuang, Gardner, E., Zhao, Y., Jia, Raina Y., Terao, C., Riggan, Marjorie J., Bolla, Manjeet K., Yazdanpanah, Mojgan, Yazdanpanah, Nahid, Bradfield, Jonathan P., Broer, L., Campbell, A., Chasman, D., Cousminer, Diana L., Franceschini, N., Franke, L., Girotto, G., He, Chunyan, Järvelin, M., Joshi, Peter K, Kamatani, Y., Karlsson, R., Luan, J., Lunetta, K., Mägi, R., Mangino, M., Medland, S., Meisinger, Christa, Noordam, R., Nutile, Teresa, Concas, M., Polašek, Ozren, Porcu, Eleonora, Ring, S., Sala, C., Smith, A., Tanaka, Toshiko, van der Most, P., Vitart, Veronique, Wang, C., Willemsen, Gonneke, Zygmunt, Marek, Ahearn, T., Andrulis, I., Anton-Culver, Hoda, Antoniou, Antonis C., Auer, P., Barnes, Catriona L.K., Beckmann, Matthias W., Berrington de Gonzalez, Amy, Bogdanova, Natalia V., Bojesen, S., Brenner, H., Buring, Julie E., Canzian, Federico, Chang-Claude, J., Couch, Fergus J., Cox, Angela, Crisponi, L., Czene, Kamila, Daly, Mary B., Demerath, Ellen W., Dennis, J., Devilee, P., De Vivo, Immaculata, Dörk, T., Dunning, A., Dwek, M., Eriksson, Johan G., Fasching, P., Fernandez-Rhodes, L., Ferreli, Liana, Fletcher, O., Gago-Dominguez, Manuela, Garcia-Closas, M., Garcia-Saenz, J., González-Neira, Anna, Grallert, Harald, Guénel, P., Haiman, Christopher A., Hall, Per, Hamann, Ute, Hakonarson, H., Hart, Roger J., Hickey, Martha, Hooning, Maartje J., Hoppe, Reiner, Hopper, John L., Hottenga, J., Hu, Frank B., Huebner, H., Hunter, David J., ABCTB Investigators, Jernström, Helena, John, Esther M., Karasik, D., Khusnutdinova, Elza K., Kristensen, V., Lacey, James V., Lambrechts, Diether, Launer, L., Lind, P., Lindblom, Annika, Magnusson, P., Mannermaa, Arto, McCarthy, M., Meitinger, T., Menni, C., Michailidou, K., Millwood, I., Milne, R., Montgomery, G., Nevanlinna, H., Nolte, I., Nyholt, D., Obi, Nadia, O'Brien, Katie M., Offit, Kenneth, Oldehinkel, A., Ostrowski, S., Palotie, A., Pedersen, O., Peters, Annette, Pianigiani, Giulia, Plaseska-Karanfilska, D., Pouta, Anneli, Pozarickij, Alfred, Radice, P., Rennert, G., Rosendaal, F., Ruggiero, Daniela, Saloustros, E., Sandler, D., Schipf, Sabine, Schmidt, C., Schmidt, M., Small, K., Spedicati, B., Stampfer, Meir, Stone, J., Tamimi, Rulla M., Teras, L., Tikkanen, Emmi, Turman, Constance, Vachon, C., Wang, Qin, Winqvist, R., Wolk, A., Zemel, Babette S., Zheng, Wei, van Dijk, K., Alizadeh, Behrooz Z., Bandinelli, Stefania, Boerwinkle, Eric, Boomsma, D., Ciullo, Marina, Chenevix-Trench, Georgia, Cucca, Francesco, Esko, Tõnu, Gieger, C., Grant, S., Gudnason, V., Hayward, C., Kolčić, Ivana, Kraft, Peter, Lawlor, D., Martin, N., Nøhr, Ellen A., Pedersen, Nancy L., Pennell, C., Ridker, Paul M., Robino, Antonietta, Snieder, H., Sovio, U., Spector, T., Stöckl, Doris, Sudlow, Cathie, Timpson, N., Toniolo, Daniela, Uitterlinden, A., Ulivi, Sheila, Völzke, Henry, Wareham, N., Widen, Elisabeth, Wilson, J., Lifelines Cohort Study, Danish Blood Donor Study, Ovarian Cancer Association Consortium, Breast Cancer Association Consortium, Biobank Japan Project, China Kadoorie Biobank Collaborative Group, Pharoah, P., Li, L., Easton, D., Njølstad, P., Sulem, P., Murabito, Joanne M., Murray, A., Manousaki, Despoina, Juul, A., Erikstrup, C., Stefansson, K., Horikoshi, M., Chen, Z., Farooqi, I Sadaf, Pitteloud, Nelly, Johansson, S., Day, F., Perry, J. and Ong, K. 2024. Understanding the genetic complexity of puberty timing across the allele frequency spectrum. Nature Genetics. 56, pp. 1397-1411. https://doi.org/10.1038/s41588-024-01798-4

Fuzzy Fractional Brownian Motion: Review and Extension
Georgy Urumov, Panagiotis Chountas and Thierry Chaussalet 2024. Fuzzy Fractional Brownian Motion: Review and Extension. Algorithms. 17 (7) 289. https://doi.org/10.3390/a17070289

Preprint: Fuzzy Fractional Brownian Motion: Review and Extension
Georgy Urumov, Panagiotis Chountas and Thierry Chaussalet 2024. Preprint: Fuzzy Fractional Brownian Motion: Review and Extension. Preprints.org. https://doi.org/10.20944/preprints202405.2078.v1

Leveraging large language models for medical text classification: a hospital readmission prediction case
Nazyrova, Nodira, Chahed, Salma, Chausalet, Thierry and Dwek, Miriam 2024. Leveraging large language models for medical text classification: a hospital readmission prediction case. IEEE 14th International Conference on Pattern Recognition Systems (ICPRS). London, United Kingdom 15 - 18 Jul 2024 IEEE . https://doi.org/10.1109/icprs62101.2024.10677826

Machine learning algorithms to uncover risk factors of breast cancer: insights from a large case-control study
Dianati-Nasab, Mostafa, Salimifard, Khodakaram, Mohammadi, Reza, Saadatmand, Sara, Fararouei, Mohammad, Hosseini, Kosar S., Jiavid-Sharifi, Behshid, Chaussalet, Thierry and Dehdar, Samira 2024. Machine learning algorithms to uncover risk factors of breast cancer: insights from a large case-control study. Frontiers in Oncology. 13 1276232. https://doi.org/10.3389/fonc.2023.1276232

Association of the CHEK2 c.1100delC variant, radiotherapy, and systemic treatment with contralateral breast cancer risk and breast cancer-specific survival
Morra, A., Schreurs, M., Andrulis, Irene L., Anton‐Culver, H., Augustinsson, Annelie, Beckmann, Matthias W., Behrens, Sabine, Bojesen, S., Bolla, Manjeet K., Brauch, Hiltrud, Broeks, Annegien, Buys, Saundra S., Camp, Nicola J., Castelao, Jose E., Cessna, Melissa H., Chang‐Claude, Jenny, Chung, Wendy K., Colonna, Sarah V., Couch, Fergus J., Cox, Angela, Cross, Simon S., Czene, Kamila, Daly, Mary B., Dennis, Joe, Devilee, Peter, Dörk, T., Dunning, Alison M., Dwek, Miriam, Easton, Douglas F., Eccles, Diana M., Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Fehm, Tanja N., Figueroa, J., Flyger, Henrik, Gabrielson, M., Gago-Dominguez, M., García‐Closas, Montserrat, Garcia-Saenz, J., Genkinger, Jeanine, Grassmann, Felix, Gündert, Melanie, Hahnen, E., Haiman, Christopher A., Hamann, Ute, Harrington, Patricia A., Hartikainen, J., Hoppe, Reiner, Hopper, John L., Houlston, Richard S., Howell, Anthony, Jakubowska, Anna, Janni, Wolfgang, Jernström, H., John, E., Johnson, Nichola, Jones, Michael E., Kristensen, Vessela N., Kurian, Allison W., Lambrechts, D., Le Marchand, Loic, Lindblom, Annika, Lubiński, Jan, Lux, Michael P., Mannermaa, Arto, Mavroudis, Dimitrios, Mulligan, Anna Marie, Muranen, T., Nevanlinna, H., Nevelsteen, Ines, Neven, Patrick, Newman, William G., Obi, Nadia, Offit, Kenneth, Olshan, Andrew F., Park‐Simon, Tjoung‐Won, Patel, A., Peterlongo, Paolo, Phillips, Kelly‐Anne, Plaseska‐Karanfilska, Dijana, Polley, Eric C., Presneau, Nadege, Pylkäs, K., Rack, Brigitte, Radice, Paolo, Rashid, M., Rhenius, Valerie, Robson, Mark, Romero, Atocha, Saloustros, Emmanouil, Sawyer, Elinor J., Schmutzler, Rita K., Schuetze, Sabine, Scott, Christopher, Shah, Mitul, Smichkoska, Snezhana, Southey, Melissa C., Tapper, William J., Teras, Lauren R., Tollenaar, Rob A. E. M., Tomczyk, Katarzyna, Tomlinson, Ian, Troester, Melissa A., Vachon, Celine M., van Veen, Elke M., Wang, Qin, Wendt, Camilla, Wildiers, Hans, Winqvist, Robert, Ziogas, Argyrios, Hall, Per, Pharoah, Paul D. P., Adank, Muriel A., Hollestelle, Antoinette, Schmidt, Marjanka K. and Hooning, M. 2023. Association of the CHEK2 c.1100delC variant, radiotherapy, and systemic treatment with contralateral breast cancer risk and breast cancer-specific survival. Cancer Medicine. 12 (15), pp. 16142-16162. https://doi.org/10.1002/cam4.6272

A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining
Kandasamy, Nichalini, Chaussalet, Thierry and Basukoski, Artie 2023. A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining. in: Healthcare Transformation with Informatics and Artificial Intelligence IOS Press. pp. 190-193

Discovering Process Models from Patient Notes
Banziger, R.B., Basukoski, A. and Chaussalet, T.J. 2023. Discovering Process Models from Patient Notes. 23rd International Conference on Computational Science (ICCS-23). Prague 03 - 05 Jul 2023 Springer. https://doi.org/10.1007/978-3-031-36024-4_18

Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry
Mueller, Stefanie H, Lai, Alvina G, Valkovskaya, Maria, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Lush, Michael, Abu-Ful, Zomoruda, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Baert, Thais, Freeman, Laura E Beane, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Brenner, Hermann, Brucker, Sara Y, Buys, Saundra S, Castelao, Jose E, Chan, Tsun L, Chang-Claude, Jenny, Chanock, Stephen J, Choi, Ji-Yeob, Chung, Wendy K, NBCS Collaborators, Colonna, Sarah V, CTS Consortium, Cornelissen, Sten, Couch, Fergus J, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dossus, Laure, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Engel, Christoph, Evans, D Gareth, Fasching, Peter A, Fletcher, Olivia, Flyger, Henrik, Gago-Dominguez, Manuela, Gao, Yu-Tang, García-Closas, Montserrat, García-Sáenz, José A, Genkinger, Jeanine, Gentry-Maharaj, Aleksandra, Grassmann, Felix, Guénel, Pascal, Gündert, Melanie, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Harkness, Elaine F, Harrington, Patricia A, Hartikainen, Jaana M, Hartman, Mikael, Hein, Alexander, Ho, Weang-Kee, Hooning, Maartje J, Hoppe, Reiner, Hopper, John L, Houlston, Richard S, Howell, Anthony, Hunter, David J, Huo, Dezheng, ABCTB Investigators, Ito, Hidemi, Iwasaki, Motoki, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Kang, Daehee, Khusnutdinova, Elza K, Kim, Sung-Won, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kubelka-Sabit, Katerina, Kurian, Allison W, Kwong, Ava, Lacey, James V, Lambrechts, Diether, Le Marchand, Loic, Li, Jingmei, Linet, Martha, Lo, Wing-Yee, Long, Jirong, Lophatananon, Artitaya, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Matsuo, Keitaro, Mavroudis, Dimitrios, Menon, Usha, Muir, Kenneth, Murphy, Rachel A, Nevanlinna, Heli, Newman, William G, Niederacher, Dieter, O'Brien, Katie M, Obi, Nadia, Offit, Kenneth, Olopade, Olufunmilayo I, Olshan, Andrew F, Olsson, Håkan, Park, Sue K, Patel, Alpa V, Patel, Achal, Perou, Charles M, Peto, Julian, Pharoah, Paul D P, Plaseska-Karanfilska, Dijana, Presneau, Nadege, Rack, Brigitte, Radice, Paolo, Ramachandran, Dhanya, Rashid, Muhammad U, Rennert, Gad, Romero, Atocha, Ruddy, Kathryn J, Ruebner, Matthias, Saloustros, Emmanouil, Sandler, Dale P, Sawyer, Elinor J, Schmidt, Marjanka K, Schmutzler, Rita K, Schneider, Michael O, Scott, Christopher, Shah, Mitul, Sharma, Priyanka, Shen, Chen-Yang, Shu, Xiao-Ou, Simard, Jacques, Surowy, Harald, Tamimi, Rulla M, Tapper, William J, Taylor, Jack A, Teo, Soo Hwang, Teras, Lauren R, Toland, Amanda E, Tollenaar, Rob A E M, Torres, Diana, Torres-Mejía, Gabriela, Troester, Melissa A, Truong, Thérèse, Vachon, Celine M, Vijai, Joseph, Weinberg, Clarice R, Wendt, Camilla, Winqvist, Robert, Wolk, Alicja, Wu, Anna H, Yamaji, Taiki, Yang, Xiaohong R, Yu, Jyh-Cherng, Zheng, Wei, Ziogas, Argyrios, Ziv, Elad, Dunning, Alison M, Easton, Douglas F, Hemingway, Harry, Hamann, Ute and Kuchenbaecker, K. 2023. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry. Genome Medicine. 15 (1), p. 7. https://doi.org/10.1186/s13073-022-01152-5

Physical activity, sedentary time and breast cancer risk: a Mendelian randomisation study.
Dixon-Suen, S., Lewis, Sarah J, Martin, Richard M, English, Dallas R, Boyle, T., Giles, Graham G, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Lush, Michael, Investigators, Abctb, Ahearn, Thomas U, Ambrosone, Christine B, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Auvinen, Päivi, Beane Freeman, Laura E, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Brenner, Hermann, Brüning, Thomas, Buys, Saundra S, Camp, Nicola J, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Cessna, Melissa H, Chang-Claude, Jenny, Chanock, Stephen J, Clarke, Christine L, Conroy, Don M, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dwek, Miriam, Eccles, Diana M, Eliassen, A Heather, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, García-Closas, Montserrat, García-Sáenz, José A, Goldberg, Mark S, Guénel, Pascal, Gündert, Melanie, Hahnen, Eric, Haiman, Christopher A, Häberle, Lothar, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hart, Steven N, Harvie, Michelle, Hillemanns, Peter, Hollestelle, Antoinette, Hooning, Maartje J, Hoppe, Reiner, Hopper, John, Howell, Anthony, Hunter, David J, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jung, Audrey, Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kubelka-Sabit, Katerina, Kurian, Allison W, Lacey, James V, Lambrechts, Diether, Le Marchand, Loic, Lindblom, Annika, Loibl, Sibylle, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martinez, Maria Elena, Mavroudis, Dimitrios, Menon, Usha, Mulligan, Anna Marie, Murphy, Rachel A, Collaborators, Nbcs, Nevanlinna, Heli, Nevelsteen, Ines, Newman, William G, Offit, Kenneth, Olshan, Andrew F, Olsson, Håkan, Orr, Nick, Patel, Alpa, Peto, Julian, Plaseska-Karanfilska, Dijana, Presneau, Nadege, Rack, Brigitte, Radice, Paolo, Rees-Punia, Erika, Rennert, Gad, Rennert, Hedy S, Romero, A., Saloustros, Emmanouil, Sandler, Dale P, Schmidt, Marjanka K, Schmutzler, Rita K, Schwentner, Lukas, Scott, Christopher, Shah, Mitul, Shu, Xiao-Ou, Simard, Jacques, Southey, Melissa C, Stone, Jennifer, Surowy, Harald, Swerdlow, Anthony J, Tamimi, Rulla M, Tapper, William J, Taylor, Jack A, Terry, Mary Beth, Tollenaar, Rob A E M, Troester, Melissa A, Truong, Thérèse, Untch, Michael, Vachon, Celine M, Joseph, Vijai, Wappenschmidt, Barbara, Weinberg, Clarice R, Wolk, Alicja, Yannoukakos, Drakoulis, Zheng, Wei, Ziogas, Argyrios, Dunning, Alison M, Pharoah, Paul D P, Easton, Douglas F, Milne, Roger L, Lynch, B. and Breast Cancer Association Consortium 2022. Physical activity, sedentary time and breast cancer risk: a Mendelian randomisation study. British Journal of Sports Medicine. 56 (20), pp. 1157-1170. https://doi.org/10.1136/bjsports-2021-105132

Development of chitosan, pullulan, and alginate based drug-loaded nano-emulsions as a potential malignant melanoma delivery platform
Hatami Fard, G., Moinipoor, Z., Anastasova-Ivanova, S., Iqbal, H.M.N., Dwek, M., Getting, S.J. and Keshavarz, T. 2022. Development of chitosan, pullulan, and alginate based drug-loaded nano-emulsions as a potential malignant melanoma delivery platform . Carbohydrate Polymer Technologies and Applications. 4 100250. https://doi.org/10.1016/j.carpta.2022.100250

Application of job shop scheduling approach in green patient flow optimization using a hybrid swarm intelligence.
Vali, Masoumeh, Salimifard, Khodakaram, Gandomi, Amir H and Chaussalet, Thierry J 2022. Application of job shop scheduling approach in green patient flow optimization using a hybrid swarm intelligence. Computers & industrial engineering. 172, p. 108603. https://doi.org/10.1016/j.cie.2022.108603

Incorporating progesterone receptor expression into the PREDICT breast prognostic model.
Grootes, Isabelle, Keeman, Renske, Blows, Fiona M, Milne, Roger L, Giles, Graham G, Swerdlow, Anthony J, Fasching, Peter A, Abubakar, Mustapha, Andrulis, Irene L, Anton-Culver, Hoda, Beckmann, Matthias W, Blomqvist, Carl, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Briceno, Ignacio, Burwinkel, Barbara, Camp, Nicola J, Castelao, Jose E, Choi, Ji-Yeob, Clarke, Christine L, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Devilee, Peter, Dörk, Thilo, Dunning, Alison M, Dwek, Miriam, Easton, Douglas F, Eccles, Diana M, Eriksson, Mikael, Ernst, Kristina, Evans, D Gareth, Figueroa, Jonine D, Fink, Visnja, Floris, Giuseppe, Fox, Stephen, Gabrielson, Marike, Gago-Dominguez, Manuela, García-Sáenz, José A, González-Neira, Anna, Haeberle, Lothar, Haiman, Christopher A, Hall, Per, Hamann, Ute, Harkness, Elaine F, Hartman, Mikael, Hein, Alexander, Hooning, Maartje J, Hou, Ming-Feng, Howell, Sacha J, ABCTB Investigators, kConFab Investigators, Ito, Hidemi, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jung, Audrey, Kang, Daehee, Kristensen, Vessela N, Kwong, Ava, Lambrechts, Diether, Li, Jingmei, Lubiński, Jan, Manoochehri, Mehdi, Margolin, Sara, Matsuo, Keitaro, Taib, Nur Aishah Mohd, Mulligan, Anna Marie, Nevanlinna, Heli, Newman, William G, Offit, Kenneth, Osorio, Ana, Park, Sue K, Park-Simon, Tjoung-Won, Patel, Alpa V, Presneau, Nadege, Pylkäs, Katri, Rack, Brigitte, Radice, Paolo, Rennert, Gad, Romero, Atocha, Saloustros, Emmanouil, Sawyer, Elinor J, Schneeweiss, Andreas, Schochter, Fabienne, Schoemaker, Minouk J, Shen, Chen-Yang, Shibli, Rana, Sinn, Peter, Tapper, William J, Tawfiq, Essa, Teo, Soo Hwang, Teras, Lauren R, Torres, Diana, Vachon, Celine M, van Deurzen, Carolien H M, Wendt, Camilla, Williams, Justin A, Winqvist, Robert, Elwood, Mark, Schmidt, Marjanka K, García-Closas, Montserrat and Pharoah, Paul D P 2022. Incorporating progesterone receptor expression into the PREDICT breast prognostic model. European journal of cancer (Oxford, England : 1990). 173, pp. 178-193. https://doi.org/S0959-8049(22)00362-8

Care process optimization in a cardiovascular hospital: an integration of simulation–optimization and data mining
Vali, M., Salimifard, K., Gandomi, A.H. and Chaussalet, T.J. 2022. Care process optimization in a cardiovascular hospital: an integration of simulation–optimization and data mining. Annals of Operations Research. 318, pp. 685-712. https://doi.org/10.1007/s10479-022-04831-z

Classification of Uterine Fibroids in Ultrasound Images Using Deep Learning Model
Dilna, K.T., Anitha, J., Angelopoulou, A., Chaussalet, T.J., Kapetanios, D.E. and Jude Hemanth, D. 2022. Classification of Uterine Fibroids in Ultrasound Images Using Deep Learning Model. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08757-8_5

Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography based Heart Rate Estimation
Smera Premkumar, K., Angelopoulou, A., Chaussalet, T.J., Kapetanios, D.E. and Jude Hemanth, D. 2022. Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography based Heart Rate Estimation. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08757-8_15

Machine Learning models for predicting 30-day readmission of elderly patients using custom target encoding approach
Nazyrova, N., Chaussalet, T.J. and Chahed, S. 2022. Machine Learning models for predicting 30-day readmission of elderly patients using custom target encoding approach. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08757-8_12

Transfer Learning based Natural Scene Classification for Scene Understanding by Intelligent Machines
Surendran, R., Anitha, J., Angelopoulou, A., Chaussalet, T.J., Kapetanios, D.E. and Jude Hemanth, D. 2022. Transfer Learning based Natural Scene Classification for Scene Understanding by Intelligent Machines. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08754-7_6

Common variants in breast cancer risk loci predispose to distinct tumor subtypes.
Ahearn, T., Zhang, Haoyu, Michailidou, Kyriaki, Milne, Roger L, Bolla, Manjeet K, Dennis, Joe, Dunning, Alison M, Lush, Michael, Wang, Qin, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Augustinsson, Annelie, Baten, Adinda, Becher, Heiko, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brooks-Wilson, Angela, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Canzian, Federico, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Clarke, Christine L, Collée, J Margriet, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, T., Dwek, Miriam, Eccles, Diana M, Evans, D., Fasching, Peter A, Figueroa, Jonine, Floris, Giuseppe, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Goldberg, Mark S, González-Neira, Anna, Alnæs, Grethe I Grenaker, Grip, Mervi, Guénel, Pascal, Haiman, Christopher A, Hall, Per, Hamann, Ute, Harkness, Elaine F, Heemskerk-Gerritsen, Bernadette A M, Holleczek, Bernd, Hollestelle, Antoinette, Hooning, Maartje J, Hoover, Robert N, Hopper, John L, Howell, Anthony, Jakimovska, Milena, Jakubowska, Anna, John, Esther M, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Kauppila, Saila, Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Kristensen, Vessela N, Krüger, Ute, Kubelka-Sabit, Katerina, Kurian, Allison W, Kyriacou, Kyriacos, Lambrechts, Diether, Lee, Derrick G, Lindblom, Annika, Linet, Martha, Lissowska, Jolanta, Llaneza, Ana, Lo, Wing-Yee, MacInnis, Robert J, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martinez, Maria Elena, McLean, Catriona, Meindl, Alfons, Menon, Usha, Nevanlinna, Heli, Newman, William G, Nodora, Jesse, Offit, Kenneth, Olsson, Håkan, Orr, Nick, Park-Simon, Tjoung-Won, Patel, Alpa V, Peto, Julian, Pita, Guillermo, Plaseska-Karanfilska, Dijana, Prentice, Ross, Punie, Kevin, Pylkäs, Katri, Radice, Paolo, Rennert, Gad, Romero, A., Rüdiger, Thomas, Saloustros, Emmanouil, Sampson, Sarah, Sandler, Dale P, Sawyer, Elinor J, Schmutzler, Rita K, Schoemaker, M., Schöttker, Ben, Sherman, Mark E, Shu, Xiao-Ou, Smichkoska, Snezhana, Southey, Melissa C, Spinelli, John J, Swerdlow, Anthony J, Tamimi, Rulla M, Tapper, William J, Taylor, Jack A, Teras, Lauren R, Terry, Mary Beth, Torres, Diana, Troester, Melissa A, Vachon, Celine M, van Deurzen, Carolien H M, van Veen, Elke M, Wagner, Philippe, Weinberg, Clarice R, Wendt, Camilla, Wesseling, Jelle, Winqvist, Robert, Wolk, Alicja, Yang, Xiaohong R, Zheng, Wei, Couch, Fergus J, Simard, Jacques, Kraft, Peter, Easton, Douglas F, Pharoah, Paul D P, Schmidt, Marjanka K, Garcia-Closas, M. and Chatterjee, Nilanjan 2022. Common variants in breast cancer risk loci predispose to distinct tumor subtypes. Breast Cancer Research. 24 2. https://doi.org/10.1186/s13058-021-01484-x

A Conceptual Framework to Predict Mental Health Patients' Zoning Classification.
Pandey, Sanjib Raj, Smith, Alan, Gall, Edmund Nigel, Bhatnagar, Ajay and Chaussalet, Thierry 2022. A Conceptual Framework to Predict Mental Health Patients' Zoning Classification. Studies in Health Technology and Informatics. 289, pp. 321-324. https://doi.org/10.3233/SHTI210924

A Comparative Machine Learning Modelling Approach for Patients' Mortality Prediction in Hospital Intensive Care Unit
Aldraimli, M., Nazyrova, N., Djumanov, A., Sobirov, I. and Chaussalet, T.J. 2022. A Comparative Machine Learning Modelling Approach for Patients' Mortality Prediction in Hospital Intensive Care Unit . Sotirov, S.S., Pencheva, T., Kacprzyk, J., Atanassov, K.T., Sotirova, E. and Staneva, G. (ed.) International Symposium on Bioinformatics and Biomedicine. Burgas, Bulgaria 08 - 10 Oct 2020 Springer. https://doi.org/10.1007/978-3-030-96638-6_2

Comparative analysis of clustering-based remaining-time predictive process monitoring approaches
Ogunbiyi, O., Basukoski, A. and Chaussalet, T.J. 2022. Comparative analysis of clustering-based remaining-time predictive process monitoring approaches. International Journal of Business Process Integration and Management. 10 (3/4), pp. 230-241. https://doi.org/10.1504/IJBPIM.2021.124023

Breast Cancer Risk Factors and Survival by Tumor Subtype: Pooled Analyses from the Breast Cancer Association Consortium
Morra, Anna, Jung, Audrey Y., Behrens, S., Keeman, R., Ahearn, T., Anton-Culver, Hoda, Arndt, V., Augustinsson, A., Auvinen, Päivi K., Beane Freeman, Laura E., Becher, Heiko, Beckmann, Matthias W., Blomqvist, Carl, Bojesen, Stig E., Bolla, Manjeet K., Brenner, H., Briceno, Ignacio, Brucker, Sara Y., Camp, N., Campa, Daniele, Canzian, F., Castelao, Jose E., Chanock, Stephen J., Choi, Ji-Yeob, Clarke, Christine L., Couch, Fergus J., Cox, A., Cross, Simon S., Czene, Kamila, Dörk, Thilo, Dunning, A., Dwek, Miriam, Easton, Douglas F., Eccles, Diana M., Egan, Kathleen M., Evans, D., Fasching, P., Flyger, Henrik, Gago-Dominguez, M., Gapstur, Susan M., Garcia-Saenz, J., Gaudet, M., Giles, G., Grip, Mervi, Guénel, P., Haiman, Christopher A., Håkansson, Niclas, Hall, P., Hamann, Ute, Han, Sileny N., Hart, S., Hartman, M., Heyworth, Jane S., Hoppe, Reiner, Hopper, John L., Hunter, David J., Ito, H., Jager, A., Jakimovska, Milena, Jakubowska, A., Janni, W., Kaaks, R., Kang, Daehee, Middha Kapoor, P., Kitahara, Cari M., Koutros, S., Kraft, Peter, Kristensen, Vessela N., Lacey, James V., Lambrechts, D., Le Marchand, Loic, Li, J., Lindblom, Annika, Lubiński, Jan, Lush, Michael, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Mariapun, Shivaani, Matsuo, K., Mavroudis, Dimitrios, Milne, R., Muranen, T., Newman, W., Noh, Dong-Young, Nordestgaard, Børge G., Obi, Nadia, Olshan, Andrew F., Olsson, Håkan, Park-Simon, T., Petridis, Christos, Pharoah, P., Plaseska-Karanfilska, Dijana, Presneau, Nadege, Rashid, Muhammad U., Rennert, G., Rennert, H., Rhenius, V., Romero, A., Saloustros, E., Sawyer, Elinor J., Schneeweiss, A., Schwentner, Lukas, Scott, C., Shah, Mitul, Shen, Chen-Yang, Shu, Xiao-Ou, Southey, M., Stram, D., Tamimi, R., Tapper, William, Tollenaar, Rob A.E.M., Tomlinson, I., Torres, D., Troester, Melissa A., Truong, Thérèse, Vachon, C., Wang, Qin, Wang, Sophia S., Williams, Justin A., Winqvist, Robert, Wolk, A., Wu, Anna H., Yoo, Keun-Young, Yu, Jyh-Cherng, Zheng, Wei, Ziogas, A., Yang, Xiaohong R., Eliassen, A. Heather, Holmes, M., Garcia-Closas, M., Teo, S., Schmidt, M. and Chang-Claude, J. 2021. Breast Cancer Risk Factors and Survival by Tumor Subtype: Pooled Analyses from the Breast Cancer Association Consortium. Cancer Epidemiology, Biomarkers and Prevention. 30 (4), pp. 623-642. https://doi.org/10.1158/1055-9965.epi-20-0924

Association of germline genetic variants with breast cancer-specific survival in patient subgroups defined by clinic-pathological variables related to tumor biology and type of systemic treatment.
Morra, Anna, Escala-Garcia, Maria, Beesley, Jonathan, Keeman, Renske, Canisius, Sander, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Auer, Paul L, Augustinsson, Annelie, Beane Freeman, Laura E, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Bojesen, Stig E, Bolla, Manjeet K, Brenner, Hermann, Brüning, Thomas, Buys, Saundra S, Caan, Bette, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Cheng, Ting-Yuan David, Clarke, Christine L, Colonna, Sarah V, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Dennis, Joe, Dörk, T., Dossus, Laure, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Fritschi, Lin, Gago-Dominguez, Manuela, García-Sáenz, José A, Giles, Graham G, Grip, Mervi, Guénel, Pascal, Gündert, Melanie, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hart, Steven N, Hartikainen, Jaana M, Hartmann, Arndt, He, Wei, Hooning, Maartje J, Hoppe, Reiner, Hopper, John L, Howell, Anthony, Hunter, David J, Jager, Agnes, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jung, Audrey Y, Kaaks, Rudolf, Keupers, Machteld, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kurian, Allison W, Lacey, James V, Lambrechts, Diether, Le Marchand, Loic, Lindblom, Annika, Linet, Martha, Luben, Robert N, Lubiński, Jan, Lush, Michael, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martens, John W M, Martinez, Maria Elena, Mavroudis, Dimitrios, Michailidou, Kyriaki, Milne, Roger L, Mulligan, Anna Marie, Muranen, Taru A, Nevanlinna, Heli, Newman, W., Nielsen, Sune F, Nordestgaard, Børge G, Olshan, Andrew F, Olsson, Håkan, Orr, Nick, Park-Simon, Tjoung-Won, Patel, Alpa V, Peissel, Bernard, Peterlongo, Paolo, Plaseska-Karanfilska, Dijana, Prajzendanc, Karolina, Prentice, Ross, Presneau, Nadege, Rack, Brigitte, Rennert, Gad, Rennert, Hedy S, Rhenius, Valerie, Romero, A., Roylance, Rebecca, Ruebner, Matthias, Saloustros, Emmanouil, Sawyer, Elinor J, Schmutzler, Rita K, Schneeweiss, Andreas, Scott, Christopher, Shah, Mitul, Smichkoska, Snezhana, Southey, Melissa C, Stone, J., Surowy, Harald, Swerdlow, Anthony J, Tamimi, Rulla M, Tapper, William J, Teras, Lauren R, Terry, Mary Beth, Tollenaar, Rob A E M, Tomlinson, Ian, Troester, Melissa A, Truong, Thérèse, Vachon, Celine M, Wang, Qin, Hurson, Amber N, Winqvist, Robert, Wolk, Alicja, Ziogas, Argyrios, Brauch, Hiltrud, García-Closas, Montserrat, Pharoah, Paul D P, Easton, Douglas F, Chenevix-Trench, Georgia and Schmidt, M. 2021. Association of germline genetic variants with breast cancer-specific survival in patient subgroups defined by clinic-pathological variables related to tumor biology and type of systemic treatment. Breast cancer research : BCR. 23 (1) 86. https://doi.org/10.1186/s13058-021-01450-7

Mendelian randomisation study of smoking exposure in relation to breast cancer risk.
Park, H., Neumeyer, Sonja, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, J., Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Augustinsson, A., Baten, Adinda, Beane Freeman, Laura E, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, H., Brucker, Sara Y, Burwinkel, Barbara, Campa, Daniele, Canzian, F., Castelao, Jose E, Chanock, Stephen J, Chenevix-Trench, Georgia, Clarke, Christine L, NBCS Collaborators, Conroy, Don M, Couch, Fergus J, Cox, A., Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, P., Dörk, Thilo, Dos-Santos-Silva, Isabel, Dwek, Miriam, Eccles, Diana M, Eliassen, A Heather, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, P., Flyger, Henrik, Fritschi, Lin, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Glendon, Gord, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Grip, Mervi, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Han, Sileny, Harkness, E., Hart, S., He, Wei, Heemskerk-Gerritsen, B., Hopper, John L, Hunter, David J, ABCTB Investigators, kConFab Investigators, Jager, Agnes, Jakubowska, A., John, Esther M, Jung, Audrey, Kaaks, Rudolf, Middha Kapoor, P., Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M, Koppert, Linetta B, Koutros, Stella, Kristensen, Vessela N, Kurian, A., Lacey, James, Lambrechts, Diether, Le Marchand, Loic, Lo, Wing-Yee, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martinez, Maria Elena, Mavroudis, Dimitrios, Meindl, Alfons, Menon, Usha, Milne, Roger L, Muranen, Taru A, Nevanlinna, Heli, Newman, W., Nordestgaard, Børge G, Offit, Kenneth, Olshan, Andrew F, Olsson, Håkan, Park-Simon, Tjoung-Won, Peterlongo, P., Peto, J., Plaseska-Karanfilska, Dijana, Presneau, Nadege, Radice, Paolo, Rennert, Gad, Rennert, Hedy S, Romero, Atocha, Saloustros, Emmanouil, Sawyer, E., Schmidt, Marjanka K, Schmutzler, Rita K, Schoemaker, Minouk J, Schwentner, Lukas, Scott, C., Shah, Mitul, Shu, Xiao-Ou, Simard, Jacques, Smeets, A., Southey, Melissa C, Spinelli, John J, Stevens, Victoria, Swerdlow, Anthony J, Tamimi, Rulla M, Tapper, William J, Taylor, Jack A, Terry, Mary Beth, Tomlinson, I., Troester, Melissa A, Truong, T., Vachon, Celine M, van Veen, Elke M, Vijai, Joseph, Wang, Sophia, Wendt, Camilla, Winqvist, Robert, Wolk, Alicja, Ziogas, Argyrios, Dunning, Alison M, Pharoah, P., Easton, Douglas F, Zheng, Wei, Kraft, Peter and Chang-Claude, Jenny 2021. Mendelian randomisation study of smoking exposure in relation to breast cancer risk. British Journal of Cancer. https://doi.org/10.1038/s41416-021-01432-8

A Data Science Approach for Early-Stage Prediction of Patient’s Susceptibility to Acute Side Effects of Advanced Radiotherapy
Aldraimli, M., Soria, D., Grishchuck, D., Ingram, S., Lyon, R., Mistry, A., Oliveira, J., Samuel, R., Shelley, L.E.A., Osman, S., Dwek, M., Azria, D., Chang-Claude, J., Gutiérrez-Enríquez, S., De Santis, M.C., Rosenstein, B.S., De Ruysscher, D., Sperk, E., Symonds, R.P., Stobart, H., Vega, A., Veldeman, L., Webb, A, Christopher, J.T., West, C.M., Rattay, T., REQUITE consortium and Chaussalet, T.J. 2021. A Data Science Approach for Early-Stage Prediction of Patient’s Susceptibility to Acute Side Effects of Advanced Radiotherapy. Computers in Biology and Medicine. 135 104624. https://doi.org/10.1016/j.compbiomed.2021.104624

Functional annotation of the 2q35 breast cancer risk locus implicates a structural variant in influencing activity of a long-range enhancer element.
Baxter, Joseph S, Johnson, Nichola, Tomczyk, Katarzyna, Gillespie, Andrea, Maguire, Sarah, Brough, Rachel, Fachal, Laura, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bogdanova, Natalia V, Bojesen, Stig E, Brenner, Hermann, Brucker, Sara Y, Cai, Qiuyin, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chan, Tsun L, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Choi, Ji-Yeob, Clarke, Christine L, NBCS Collaborators, Colonna, Sarah, Conroy, Don M, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dossus, Laure, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Engel, Christoph, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Gago-Dominguez, Manuela, Gao, Chi, García-Closas, Montserrat, García-Sáenz, José A, Ghoussaini, Maya, Giles, Graham G, Goldberg, Mark S, González-Neira, Anna, Guénel, Pascal, Gündert, Melanie, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Hall, Per, Hamann, Ute, Hartman, Mikael, Hatse, Sigrid, Hauke, Jan, Hollestelle, Antoinette, Hoppe, Reiner, Hopper, John L, Hou, Ming-Feng, kConFab Investigators, ABCTB Investigators, Ito, Hidemi, Iwasaki, Motoki, Jager, Agnes, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Joseph, Vijai, Jung, Audrey, Kaaks, Rudolf, Kang, Daehee, Keeman, Renske, Khusnutdinova, Elza, Kim, Sung-Won, Kosma, Veli-Matti, Kraft, Peter, Kristensen, Vessela N, Kubelka-Sabit, Katerina, Kurian, Allison W, Kwong, Ava, Lacey, James V, Lambrechts, Diether, Larson, Nicole L, Larsson, Susanna C, Le Marchand, Loic, Lejbkowicz, Flavio, Li, Jingmei, Long, Jirong, Lophatananon, Artitaya, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, Matsuo, Keitaro, Mavroudis, Dimitrios, Mayes, Rebecca, Menon, Usha, Milne, Roger L, Mohd Taib, Nur Aishah, Muir, Kenneth, Muranen, Taru A, Murphy, Rachel A, Nevanlinna, Heli, O'Brien, Katie M, Offit, Kenneth, Olson, Janet E, Olsson, Håkan, Park, Sue K, Park-Simon, Tjoung-Won, Patel, Alpa V, Peterlongo, Paolo, Peto, Julian, Plaseska-Karanfilska, Dijana, Presneau, Nadege, Pylkäs, Katri, Rack, Brigitte, Rennert, Gad, Romero, Atocha, Ruebner, Matthias, Rüdiger, Thomas, Saloustros, Emmanouil, Sandler, Dale P, Sawyer, Elinor J, Schmidt, Marjanka K, Schmutzler, Rita K, Schneeweiss, Andreas, Schoemaker, Minouk J, Shah, Mitul, Shen, Chen-Yang, Shu, Xiao-Ou, Simard, Jacques, Southey, Melissa C, Stone, Jennifer, Surowy, Harald, Swerdlow, Anthony J, Tamimi, Rulla M, Tapper, William J, Taylor, Jack A, Teo, Soo Hwang, Teras, Lauren R, Terry, Mary Beth, Toland, Amanda E, Tomlinson, Ian, Truong, Thérèse, Tseng, Chiu-Chen, Untch, Michael, Vachon, Celine M, van den Ouweland, Ans M W, Wang, Sophia S, Weinberg, Clarice R, Wendt, Camilla, Winham, Stacey J, Winqvist, Robert, Wolk, Alicja, Wu, Anna H, Yamaji, Taiki, Zheng, Wei, Ziogas, Argyrios, Pharoah, Paul D P, Dunning, Alison M, Easton, Douglas F, Pettitt, Stephen J, Lord, Christopher J, Haider, Syed, Orr, Nick and Fletcher, Olivia 2021. Functional annotation of the 2q35 breast cancer risk locus implicates a structural variant in influencing activity of a long-range enhancer element. American Journal of Human Genetics. 108, pp. 1190-1203. https://doi.org/10.1016/j.ajhg.2021.05.013

Incorporating spatial context into remaining-time predictive process monitoring
Ogunbiyi, Niyi, Basukoski, Artie and Chaussalet, Thierry 2021. Incorporating spatial context into remaining-time predictive process monitoring. 36th Annual ACM Symposium on Applied Computing. Virtual Event Republic of Korea 22 - 26 Mar 2021 ACM. https://doi.org/10.1145/3412841.3441933

An Exploration of Ethical Decision Making with Intelligence Augmentation
Ogunbiyi, O., Basukoski, A. and Chaussalet, T.J. 2021. An Exploration of Ethical Decision Making with Intelligence Augmentation. Social Sciences. 10 (2) 57. https://doi.org/10.3390/socsci10020057

Carbon Footprints in Emergency Departments: A Simulation-Optimization Analysis
Vali, M., Salimifard, K. and Chaussalet, T. 2021. Carbon Footprints in Emergency Departments: A Simulation-Optimization Analysis. in: Masmoudi M., Jarboui B. and Siarry P. (ed.) Operations Research and Simulation in Healthcare Springer. pp. 193-207

Clinical relevance assessment of animal preclinical research (RAA) tool: development and explanation.
Gurusamy, K., Moher, D., Loizidou, M., Ahmed, Irfan, Avey, M., Barron, Carly C, Davidson, Brian, Dwek, M., Gluud, C., Jell, G., Katakam, Kiran, Montroy, Joshua, McHugh, T., Osborne, N., Ritskes-Hoitinga, M., van Laarhoven, Kees, Vollert, Jan and Lalu, Manoj 2021. Clinical relevance assessment of animal preclinical research (RAA) tool: development and explanation. PeerJ . 9 e10673. https://doi.org/10.7717/peerj.10673

Germline HOXB13 mutations p.G84E and p.R217C do not confer an increased breast cancer risk
Liu, J., Prager-van der Smissen, W.J.C., Collée, J.M., Bolla, M.K., Wang, Q., Michailidou, K., Dennis, J., Ahearn, T.U., Aittomäki, K., Ambrosone, C.B., Andrulis, I.L., Hollestelle, A. and Dwek, M. 2020. Germline HOXB13 mutations p.G84E and p.R217C do not confer an increased breast cancer risk. Scientific Reports. 10 9688. https://doi.org/10.1038/s41598-020-65665-y

Investigating the Diffusion of Workload-Induced Stress—A Simulation Approach
Ogunbiyi, O., Basukoski, A. and Chaussalet, T.J. 2020. Investigating the Diffusion of Workload-Induced Stress—A Simulation Approach. Information. 12 (1) 11. https://doi.org/10.3390/info12010011

Investigating Social Contextual Factors in Remaining-Time Predictive Process Monitoring—A Survival Analysis Approach
Ogunbiyi, N., Basukoski, A. and Chaussalet, T.J. 2020. Investigating Social Contextual Factors in Remaining-Time Predictive Process Monitoring—A Survival Analysis Approach. Algorithms. 13 (11), p. e267. https://doi.org/10.3390/a13110267

Cancer cells grown in 3D under fluid flow exhibit an aggressive phenotype and reduced responsiveness to the anti-cancer treatment doxorubicin.
Azimi, T., Loizidou, M. and Dwek, M. 2020. Cancer cells grown in 3D under fluid flow exhibit an aggressive phenotype and reduced responsiveness to the anti-cancer treatment doxorubicin. Scientific Reports. 10 (1) 12020. https://doi.org/10.1038/s41598-020-68999-9

Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases
Aldraimli, M., Soria, D., Parkinson, J., Thomas, E.L., Bell, J.D., Dwek, M. and Chaussalet, T.J. 2020. Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases. Health and Technology. 10, pp. 925-944. https://doi.org/10.1007/s12553-020-00446-1

A network analysis to identify mediators of germline-driven differences in breast cancer prognosis
Maria Escala-Garcia, Jean Abraham, Irene L. Andrulis, Hoda Anton-Culver, Volker Arndt, Alan Ashworth, Paul L. Auer, Päivi Auvinen, Matthias W. Beckmann, Jonathan Beesley, Sabine Behrens, Javier Benitez, Marina Bermisheva, Carl Blomqvist, William Blot, Natalia V. Bogdanova, Stig E. Bojesen, Manjeet K. Bolla, Anne-Lise Børresen-Dale, Hiltrud Brauch, Hermann Brenner, Sara Y. Brucker, Barbara Burwinkel, Carlos Caldas, Federico Canzian, Jenny Chang-Claude, Stephen J. Chanock, Suet-Feung Chin, Christine L. Clarke, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Mary B. Daly, Joe Dennis, Peter Devilee, Janet A. Dunn, Alison M. Dunning, Miriam Dwek, Helena M. Earl, Diana M. Eccles, A. Heather Eliassen, Carolina Ellberg, D. Gareth Evans, Peter A. Fasching, Jonine Figueroa, Henrik Flyger, Manuela Gago-Dominguez, Susan M. Gapstur, Montserrat García-Closas, José A. García-Sáenz, Mia M. Gaudet, Angela George, Graham G. Giles, David E. Goldgar, Anna González-Neira, Mervi Grip, Pascal Guénel, Qi Guo, Christopher A. Haiman, Niclas Håkansson, Ute Hamann, Patricia A. Harrington, Louise Hiller, Maartje J. Hooning, John L. Hopper, Anthony Howell, Chiun-Sheng Huang, Guanmengqian Huang, David J. Hunter, Anna Jakubowska, Esther M. John, Rudolf Kaaks, Pooja Middha Kapoor, Renske Keeman, Cari M. Kitahara, Linetta B. Koppert, Peter Kraft, Vessela N. Kristensen, Diether Lambrechts, Loic Le Marchand, Flavio Lejbkowicz, Annika Lindblom, Jan Lubiński, Arto Mannermaa, Mehdi Manoochehri, Siranoush Manoukian, Sara Margolin, Maria Elena Martinez, Tabea Maurer, Dimitrios Mavroudis, Alfons Meindl, Roger L. Milne, Anna Marie Mulligan, Susan L. Neuhausen, Heli Nevanlinna, William G. Newman, Andrew F. Olshan, Janet E. Olson, Håkan Olsson, Nick Orr, Paolo Peterlongo, Christos Petridis, Ross L. Prentice, Nadege Presneau, Kevin Punie, Dhanya Ramachandran, Gad Rennert, Atocha Romero, Mythily Sachchithananthan, Emmanouil Saloustros, Elinor J. Sawyer, Rita K. Schmutzler, Lukas Schwentner, Christopher Scott, Jacques Simard, Christof Sohn, Melissa C. Southey, Anthony J. Swerdlow, Rulla M. Tamimi, William J. Tapper, Manuel R. Teixeira, Mary Beth Terry, Heather Thorne, Rob A. E. M. Tollenaar, Ian Tomlinson, Melissa A. Troester, Thérèse Truong, Clare Turnbull, Celine M. Vachon, Lizet E. van der Kolk, Qin Wang, Robert Winqvist, Alicja Wolk, Xiaohong R. Yang, Argyrios Ziogas, Paul D. P. Pharoah, Per Hall, Lodewyk F. A. Wessels, Georgia Chenevix-Trench, Gary D. Bader, Thilo Dörk, Douglas F. Easton, Sander Canisius & Marjanka K. Schmidt, Dwek, M. and Presneau, Nadège 2020. A network analysis to identify mediators of germline-driven differences in breast cancer prognosis. Nature Communications . 16 (11) 312. https://doi.org/10.1038/s41467-019-14100-6

Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes.
Fachal, L., Aschard, H., Beesley, J., Barnes, D.R., Allen, J., Kar, S., Pooley, K.A., Dennis, J., Michailidou, K., Turman, C., Soucy, P., Lemaçon, A., Lush, M., Tyrer, J.P., Dunning, A.M. and Dwek, M. 2020. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes. Nature Genetics. 52, pp. 56-73. https://doi.org/10.1038/s41588-019-0537-1

Serum IgA1 shows increased levels of α 2,6-linked sialic acid in breast cancer
Lomax-Browne, Hannah J., Robertson, Claire, Antonopoulos, Aristotelis, Leathem, Anthony J. C., Haslam, Stuart M., Dell, Anne and Dwek, M. 2019. Serum IgA1 shows increased levels of α 2,6-linked sialic acid in breast cancer. Interface Focus. 9 (2), p. 20180079 20180079. https://doi.org/10.1098/rsfs.2018.0079

Genome-wide association study of germline variants and breast cancer-specific mortality.
Escala-Garcia, M., Guo, Q., Dörk, T., Canisius, S., Keeman, R., Dennis, J., Beesley, J., Lecarpentier, J., Bolla, M.K., Wang, Q., Abraham, J., Andrulis, I.L., Anton-Culver, H., Schmidt, M.K. and Dwek, M. 2019. Genome-wide association study of germline variants and breast cancer-specific mortality. British Journal of Cancer. 120, pp. 647-657. https://doi.org/10.1038/s41416-019-0393-x

Machine Learning Classification of Females Susceptibility to Visceral Fat Associated Diseases
Aldraimli, M., Soria, D., Parkinson, J., Whitcher, B., Thomas, E.L., Bell, J.D., Chaussalet, T.J. and Dwek, M. 2019. Machine Learning Classification of Females Susceptibility to Visceral Fat Associated Diseases. MEDICON 2019: XV Mediterranean Conference on Medical and Biological Engineering and Computing. Coimbra, Portugal 26 - 28 Sep 2019 Springer. https://doi.org/10.1007/978-3-030-31635-8_81

Controlling Understaffing with Conditional Value-at-Risk Constraint for an Integrated Nurse Scheduling Problem under Patient Demand Uncertainty
He, F., Chaussalet, T.J. and Qu, R. 2019. Controlling Understaffing with Conditional Value-at-Risk Constraint for an Integrated Nurse Scheduling Problem under Patient Demand Uncertainty. Operations Research Perspectives. 6 (2019), p. 100119 100119. https://doi.org/10.1016/j.orp.2019.100119

Modelling the Home Health Care Nurse Scheduling Problem for Patients with Long-Term Conditions in the UK
He, F., Chaussalet, T.J. and Qu, R. 2019. Modelling the Home Health Care Nurse Scheduling Problem for Patients with Long-Term Conditions in the UK. 33rd International ECMS Conference on modelling and Simulation. Universita degli Studi della Campania, Caserta, Area of Napoli, Italy 11 - 14 Jun 2019 European Council for Modeling and Simulation. https://doi.org/10.7148/2019-0317

Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records
Zebin, T. and Chaussalet, T.J. 2019. Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records. 16th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology. Certosa di Pontignano, Siena - Tuscany, Italy 09 - 11 Jul 2019 IEEE . https://doi.org/10.1109/CIBCB.2019.8791466

A deep learning approach for length of stay prediction in clinical settings from medical records
Zebin, T., Rezvy, S. and Chaussalet, T.J. 2019. A deep learning approach for length of stay prediction in clinical settings from medical records. 16th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology. Certosa di Pontignano, Siena - Tuscany, Italy 09 - 11 Jul 2019 IEEE . https://doi.org/10.1109/CIBCB.2019.8791477

Genome-wide association and transcriptome studies identify target genes and risk loci for breast cancer.
Ferreira, M.A., Gamazon, E.R., Al-Ejeh, F., Aittomäki, K., Andrulis, I.L., Anton-Culver, H., Arason, A., Arndt, V., Aronson, K.J., Arun, B.K., Asseryanis, E., Azzollini, J., Chenevix-Trench, G., Dwek, M. and Presneau, Nadège 2019. Genome-wide association and transcriptome studies identify target genes and risk loci for breast cancer. Nature Communications . 10, p. 1741. https://doi.org/10.1038/s41467-018-08053-5

Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes.
Mavaddat, N., Michailidou, K., Dennis, J., Lush, M., Fachal, L., Lee, A., Tyrer, J.P., Chen, T.H., Wang, Q., Bolla, M.K., Yang, X., Adank, M.A., Ahearn, T., Aittomäki, K., Allen, J., Easton, D.F., Dwek, M. and Presneau, Nadège 2019. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes. American Journal of Human Genetics. 104 (1), pp. 21-34. https://doi.org/10.1016/j.ajhg.2018.11.002

Temporal Comorbidity-Adjusted Risk of Emergency Readmission (T-CARER): A Tool for Comorbidity Risk Assessment
Mesgarpour, M., Chaussalet, T.J. and Chahed, S. 2019. Temporal Comorbidity-Adjusted Risk of Emergency Readmission (T-CARER): A Tool for Comorbidity Risk Assessment. Applied Soft Computing. 79, pp. 163-185. https://doi.org/10.1016/j.asoc.2019.03.015

Shared heritability and functional enrichment across six solid cancers.
Jiang, X., Finucane, H.K., Schumacher, F.R., Schmit, S.L., Tyrer, J.P., Han, Y., Michailidou, K., Lesseur, C., Kuchenbaecker, K.B., Dennis, J., Conti, D.V., Casey, G., Gaudet, M.M., Lindström, S. and Dwek, M. 2019. Shared heritability and functional enrichment across six solid cancers. Nature Communications . 10 431. https://doi.org/10.1038/s41467-018-08054-4

Associations of obesity and circulating insulin and glucose with breast cancer risk: a Mendelian randomization analysis
Xiang Shu, Lang Wu, Nikhil K Khankari, Xiao-Ou Shu, Thomas J Wang, Kyriaki Michailidou, Manjeet K Bolla, Qin Wang, Joe Dennis, Roger L Milne, Marjanka K Schmidt, Paul D P Pharoah, Irene L Andrulis, David J Hunter, Jacques Simard, Douglas F Easton, Wei Zheng, Breast Cancer Association Consortium and Dwek, M. 2019. Associations of obesity and circulating insulin and glucose with breast cancer risk: a Mendelian randomization analysis . International Journal of Epidemiology. 48 (3), pp. 795-806. https://doi.org/10.1093/ije/dyy201

Transformation of UML Activity Diagram for Enhanced Reasoning
Chishti, I., Basukoski, A., Chaussalet, T.J. and Beeknoo, N. 2018. Transformation of UML Activity Diagram for Enhanced Reasoning. Future Technologies Conference 2018. Vancouver, Canada 13 - 14 Nov 2018 Springer. https://doi.org/10.1007/978-3-030-02683-7_33

Discovering Business Processes in CRM Systems by leveraging unstructured text data
Banziger, R.B., Basukoski, A. and Chaussalet, T.J. 2018. Discovering Business Processes in CRM Systems by leveraging unstructured text data. The 4th IEEE International Conference on Data Science and Systems (DSS-2018). Exeter, UK 28 - 30 Jun 2018 IEEE . https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00257

A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer.
Wu, L., Shi, W., Long, J., Guo, X., Michailidou, K., Beesley, J., Bolla, M.K., Shu, X.O., Lu, Y., Cai, Q., Al-Ejeh, F., Rozali, E., Wang, Q., Dennis, J., Li, B., Zeng, C., Feng, H., Zheng, W. and Dwek, M. 2018. A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer. Nature Genetics. 50, pp. 968-978. https://doi.org/10.1038/s41588-018-0132-x

Glycosylation and Disease
Dwek, M. and Markiv, A. 2018. Glycosylation and Disease. eLS. 10.1002/9780470015902.a0002151.pub3. https://doi.org/10.1002/9780470015902.a0002151.pub3

Modeling Patient Flows: A Temporal Logic Approach
Chishti, I., Basukoski, A. and Chaussalet, T.J. 2018. Modeling Patient Flows: A Temporal Logic Approach. Journal On Computing. 6 (1) 1516. https://doi.org/10.5176/2251-3043_6.1.107

Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer.
Milne, R.L., Kuchenbaecker, K.B., Michailidou, K., Beesley, J., Kar, S., Lindström, S., Hui, S., Lemaçon, A., Soucy, P., Dennis, J., Jiang, X., Rostamianfar, A., Finucane, H., Simard, J., Dwek, M. and Presneau, Nadège 2017. Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer. Nature Genetics. 49, pp. 1767-1778. https://doi.org/10.1038/ng.3785

Association analysis identifies 65 new breast cancer risk loci
Michailidou, K., Lindström, S., Dennis, J., Beesley, J., Hui, S., Kar, S., Lemaçon, A., Soucy, P., Glubb, D., Rostamianfar, A., Bolla, M.K., Wang, Q., Tyrer, J., Dicks, E., Easton, D.F., Dwek, M. and Presneau, Nadège 2017. Association analysis identifies 65 new breast cancer risk loci. Nature. 551, pp. 92-94. https://doi.org/10.1038/nature24284

Care Home Quality Scorecard: A scorecard inspired approach to benchmark care home quality
Worrall, P. and Chaussalet, T.J. 2017. Care Home Quality Scorecard: A scorecard inspired approach to benchmark care home quality. Operational Research Applied to Health Services. Bath, UK 24 - 28 Jul 2017

Emergency Readmission for Integrated Care (ERIC) Model: Using an Automated Feature Generation & a Multi-Task Learner
Chaussalet, T.J., Mesgarpour, M., Worrall, P. and Chahed, S. 2017. Emergency Readmission for Integrated Care (ERIC) Model: Using an Automated Feature Generation & a Multi-Task Learner. Operational Research Applied to Health Services 2017. Bath, UK 24 - 28 Jul 2017

Modeling and Optimizing Patient Flows
Chishti, I., Basukoski, A. and Chaussalet, T.J. 2017. Modeling and Optimizing Patient Flows. 8th Annual International Conference on ICT: Big Data, Cloud & Security. Singapore 21 - 22 Aug 2017 Global Science & Technology Forum. https://doi.org/10.5176/2251-2136_ICT-BDCS17.52

PhytoCloud: A gamified Mobile Web Application to modulate diet and physical activity of women with breast cancer
Economou, D., Dwek, M., Elliott, B., Ramezanian Kalahroudi, M. and Azimi, T. 2017. PhytoCloud: A gamified Mobile Web Application to modulate diet and physical activity of women with breast cancer. IEEE 30th International Symposium on Computer-Based Medical Systems. Thessaloniki, Greece 22 Jun - 24 Sep 2017 IEEE . https://doi.org/10.1109/CBMS.2017.164

Ensemble Risk Model of Emergency Admissions (ERMER)
Mesgarpour, M., Chaussalet, T.J. and Chahed, S. 2017. Ensemble Risk Model of Emergency Admissions (ERMER). International Journal of Medical Informatics. 103, pp. 65-77. https://doi.org/10.1016/j.ijmedinf.2017.04.010

Cellular glycosylation affects Herceptin binding and sensitivity of breast cancer cells to doxorubicin and growth factors
Peiris, D., Spector, A.F., Lomax-Browne, H., Azimi, T., Ramesh, B., Loizidou, M., Welch, H. and Dwek, M. 2017. Cellular glycosylation affects Herceptin binding and sensitivity of breast cancer cells to doxorubicin and growth factors. Scientific Reports. 7 43006. https://doi.org/10.1038/srep43006

Towards a threshold climate for emergency lower respiratory hospital admissions
Islam, M.S., Chaussalet, T.J. and Koizumi, N. 2017. Towards a threshold climate for emergency lower respiratory hospital admissions. Environmental Research. 153, pp. 41-47. https://doi.org/10.1016/j.envres.2016.11.011

Identification of independent association signals and putative functional variants for breast cancer risk through fine-scale mapping of the 12p11 locus
Zeng, C., Guo, X., Long, J., Kuchenbaecker, K.B., Droit, A., Michailidou, K., Ghoussaini, M., Kar, S., Freeman, A., Hopper, J.L., Milne, R.L., Bolla, M.K., Wang, Q., Dennis, J., Agata, S., Ahmed, S., Aittomaki, K., Andrulis, I.L., Anton-Culver, H., Antonenkova, N.N., Arason, A., Arndt, V., Arun, B.K., Arver, B., Bacot, F., Barrowdale, D., Baynes, C., Beeghly-Fadiel, A., Benitez, J., Bermisheva, M., Blomqvist, C., Blot, W.J., Bogdanova, N.V., Bojesen, S.E., Bonanni, B., Borresen-Dale, A.-L., Brand, J.S., Brauch, H., Brennan, P., Brenner, H., Broeks, A., Brüning, T., Burwinkel, B., Buys, S.S., Cai, Q., Caldes, T., Campbell, I., Carpenter, J., Chang-Claude, J., Choi, J.Y., Claes, K.B.M., Clarke, C., Cox, A., Cross, S.S., Czene, K., Daly, M.B., de la Hoya, M., De Leeneer, K., Devilee, P., Diez, O., Domchek, S.M., Doody, M.M., Dorfling, C.M., Dörk, T., Dos Santos Silva, I., Dumont, M., Dwek, M., Dworniczak, B., Egan, K.M., Eilber, U., Einbeigi, Z., Ejlertsen, B., Ellis, S., Frost, D., Lalloo, F., Fasching, P.A., Figueroa, J.D., Flyger, H., Friedlander, M., Friedman, E., Gambino, G., Gao, Y.T., Garber, J., Garcia-Closas, M., Gehrig, A., Damiola, F., Lesueur, F., Mazoyer, S., Stoppa-Lyonnet, D., Giles, G.G., Godwin, A.K., Goldgar, D.E., González-Neira, A., Greene, M.H., Guenel, P., Haeberle, L., Haiman, C.A., Hallberg, E., Hamann, U., Hansen, T.V.O., Hart, S., Hartikainen, J.M., Hartman, M., Hassan, N., Healey, S., Hogervorst, F.B.L., Verhoef, S., Hendricks, C.B., Hillemanns, P., Hollestelle, A., Hulick, P.J., Hunter, D.J., Imyanitov, E.N., Isaacs, C., Ito, H., Jakubowska, A., Janavicius, R., Jaworska-Bieniek, K., Jensen, U.B., John, E.M., Beauparlant, C.J., Jones, M., Kabisch, M., Kang, D., Karlan, B.Y., Kauppila, S., Kerin, M.J., Khan, S., Khusnutdinova, E., Knight, J.A., Konstantopoulou, I., Kraft, P., Kwong, A., Laitman, Y., Lambrechts, D., Lazaro, C., Le Marchand, L., Lee, C.N., Lee, M.H., Lester, J., Li, J., Liljegren, A., Lindblom, A., Lophatananon, A., Lubinski, J., Mai, P.L., Mannermaa, A., Manoukian, S., Margolin, S., Marme, F., Matsuo, K., McGuffog, L., Meindl, A., Menegaux, F., Montagna, M., Muir, K., Mulligan, A.M., Nathanson, K.L., Neuhausen, S.L., Nevanlinna, H., Newcomb, P.A., Nord, S., Nussbaum, R.L., Offit, K., Olah, E., Olopade, O.I., Olswold, C., Osorio, A., Papi, L., Park-Simon, T.W., Paulsson-Karlsson. Y., Peeters, S., Peissel, B., Peterlongo, P., Peto, J., Pfeiler, G., Phelan, C.M., Presneau, Nadège, Presneau, N., Radice, P., Rahman, N., Ramus, S.J., Rashid, M.U., Rennert, G., Rhiem, K., Rudolph, A., Salani, R., Sangrajrang, S., Sawyer, E.J., Schmidt, M.K., Schmutzler, R.K., Schoemaker, M.J., Schürmann, P., Seynaeve, C., Shen, C.Y., Shrubsole, M.J., Shu, X.O., Sigurdson, A., Singer, C.F., Slager, S., Soucy, P., Southey, M., Steinemann, D., Swerdlow, A., Szabo, C.I., Tchatchou, S., Teixeira, M.R., Teo, S.H., Terry, M.B., Tessier, D.C., Teulé, A., Thomassen, M., Tihomirova, L., Tischkowitz, M., Toland, A.E., Tung, N., Turnbull, C., van den Ouweland, A.M., van Rensburg, E.J., Ven den Berg, D., Vijai, J., Wang-Gohrke, S., Weitzel, J.N., Whittemore, A.S., Winqvist, R., Wong, T.Y., Wu, A.H., Yannoukakos, D., Yu, J.C., Pharoah, P.D., Hall, P., Chenevix-Trench, G., Dunning, A.M., Simard, J., Couch, F.J., Antoniou, A.C., Easton, D.F., Antoniou, A.C. and Zheng, W. 2016. Identification of independent association signals and putative functional variants for breast cancer risk through fine-scale mapping of the 12p11 locus. Breast Cancer Research. 18 (1), p. 64. https://doi.org/10.1186/s13058-016-0718-0

A general framework for Business Process Modelling (BPM) based on Formal Temporal Theory with an application to Hospital Patient flows
Chishti, I., Chaussalet, T.J. and Basukoski, A. 2016. A general framework for Business Process Modelling (BPM) based on Formal Temporal Theory with an application to Hospital Patient flows. 8th IMA International Conference on Quantitative Modelling in the Management of Health and Social Care. Asia House, London 21 - 23 Mar 2016 Institute of Mathematics and its Applications.

Business Process Modelling based on formal temporal theory with an application to hospital patient flows
Chishti, I., Basukoski, A. and Chaussalet, T.J. 2016. Business Process Modelling based on formal temporal theory with an application to hospital patient flows. 8th IMA International Conference on Quantitative Modelling in the Management of Health and Social Care. Asia House, London 21 - 23 Mar 2016 Institute of Mathematics and its Applications.

Risk Modelling Framework for Emergency Hospital Readmission, Using Hospital Episode Statistics Inpatient Data
Mesgarpour, M., Chaussalet, T.J. and Chahed, S. 2016. Risk Modelling Framework for Emergency Hospital Readmission, Using Hospital Episode Statistics Inpatient Data. IEEE 29th International Symposium on Computer-Based Medical Systems. Dublin and Belfast 20 - 23 Jun 2016 IEEE . https://doi.org/10.1109/CBMS.2016.21

Predictive Risk Modelling for Integrated Care: a Structured Review
Mesgarpour, M., Chaussalet, T.J., Worrall, P. and Chahed, S. 2016. Predictive Risk Modelling for Integrated Care: a Structured Review. IEEE 29th International Symposium on Computer-Based Medical Systems. Dublin and Belfast 20 - 23 Jun 2016 IEEE . https://doi.org/10.1109/CBMS.2016.34

Cadherin-5: a biomarker for metastatic breast cancer with optimum efficacy in oestrogen receptor-positive breast cancers with vascular invasion
Fry, S., Robertson, C.E., Swann, R. and Dwek, M. 2016. Cadherin-5: a biomarker for metastatic breast cancer with optimum efficacy in oestrogen receptor-positive breast cancers with vascular invasion. British Journal of Cancer. 114, pp. 1019-1026. https://doi.org/10.1038/bjc.2016.66

Efficacy of DOPE/DC-cholesterol liposomes and GCPQ micelles as AZD6244 nanocarriers in a 3D colorectal cancer in vitro model
López-Dávila, V., Magdeldin, T., Welch, H., Dwek, M., Uchegbu, I. and Loizidou, M. 2016. Efficacy of DOPE/DC-cholesterol liposomes and GCPQ micelles as AZD6244 nanocarriers in a 3D colorectal cancer in vitro model. Nanomedicine. 11 (4), pp. 331-344. https://doi.org/10.2217/nnm.15.206

Is the NHS in England too big to fail?
Dalton, S., Chahed, S. and Chaussalet, T.J. 2016. Is the NHS in England too big to fail? 8th Institute of Mathematics and Its Applications. Asia House, London 21 Mar 2016

A structured review of long-term care demand modelling
Worrall, P. and Chaussalet, T.J. 2015. A structured review of long-term care demand modelling. Health Care Management Science. 18 (2), pp. 173-194. https://doi.org/10.1007/s10729-014-9299-6

Improving the NHS demands more than just extra money [Letter]
Young, T., Brailsford, S., Berry, R., Braun, H., Cordeaux, C., Chaussalet, T.J., Davies, K., Debenedetti, L., Farrar, M., Harper, P.R., King, J., Lacey, P., Lyon, J., Marshall, A., McClean, S., McKelvie, D., Pollard, A., Schmidt, P. and Soorapanth, S. 2015. Improving the NHS demands more than just extra money [Letter]. BMJ. 350, p. h3338. https://doi.org/10.1136/bmj.h3338

The Breast Cancer Cookbook
Keshtgar, M., Robertson, C.E. and Dwek, M. Keshtgar, M. (ed.) 2015. The Breast Cancer Cookbook. London Quadrille.

Identification of O-Linked Glycoproteins Binding to the Lectin Helix pomatia Agglutinin as Markers of Metastatic Colorectal Cancer
Peiris, D., Ossondo, M., Fry, S., Loizidou, M., Smith-Ravin, J. and Dwek, M. 2015. Identification of O-Linked Glycoproteins Binding to the Lectin Helix pomatia Agglutinin as Markers of Metastatic Colorectal Cancer. PLoS ONE. 10 (10) e0138345. https://doi.org/10.1371/journal.pone.0138345

Toward simulating the english neonatal unit
Dalton, S., Chahed, S. and Chaussalet, T.J. 2015. Toward simulating the english neonatal unit. 27th European Conference on Operational Reasearch (EURO). University of Strathclyde, Glasgow 13 Jul 2015

Prediction of breast cancer risk based on profiling with common genetic variants
Mavaddat, N., Pharoah, P.D.P., Michailidou, K., Tyrer, J., Brook, M.N., Bolla, M.K., Wang, Q., Dennis, J., Dunning, A.M., Shah, M., Luben, R., Brown, J.C.C., Bojesen, S.E., Nordestgaard, B.G., Nielsen, S.F., Flyger, H., Czene, K., Darabi, H., Eriksson, M., Peto, J., Dos-Santos-Silva, I., Dudbridge, F., Johnson, N., Schmidt, M.K., Broeks, A., Verhoef, S., Rutgers, E.J., Swerdlow, A.J., Ashworth, A., Orr, N., Schoemaker, M.J., Figueroa, J.D., Chanock, S.J., Brinton, L., Lissowska, J., Couch, F.J., Olson, J.E., Vachon, C., Pankratz, V.S., Lambrechts, D., Wildiers, H., Van Ongeval, C., van Limbergen, E., Kristensen, V., Grenaker Alnaes, G., Nord, S., Borresen-Dale, A.-L., Nevanlinna, H., Muranen, T.A., Aittomaki, K., Blomqvist, C., Chang-Claude, J., Rudolph, A., Seibold, P., Flesch-Janys, D., Fasching, P.A., Haeberle, L., Ekici, A.B., Beckmann, M.W., Burwinkel, B., Marme, F., Schneeweiss, A., Sohn, C., Trentham-Dietz, A., Newcomb, P., Titus, L., Egan, K.M., Hunter, D.J., Lindstrom, S., Tamimi, R.M., Kraft, P., Rahman, N., Turnbull, C., Renwick, A., Seal, S., Li, J., Liu, J., Humphreys, K., Benitez, J., Pilar Zamora, M., Arias Perez, J.I., Menéndez, P., Jakubowska, A., Lubinski, J., Jaworska-Bieniek, K., Durda, K., Bogdanova, N.V., Antonenkova, N.N., Dörk, T., Anton-Culver, H., Neuhausen, S.L., Ziogas, A., Bernstein, L., Devilee, P., Tollenaar, R.A.E.M., Seynaeve, C., van Asperen, C.J., Cox, A., Cross, S.S., Reed, M.W., Khusnutdinova, E., Bermisheva, M., Prokofyeva, D., Takhirova, Z., Meindl, A., Schmutzler, R.K., Sutter, C., Yang, R., Schürmann, P., Bremer, M., Christiansen, H., Park-Simon, T.-W., Hillemanns, P., Guenel, P., Truong, T., Menegaux, F., Sanchez, M., Radice, P., Peterlongo, P., Manoukian, S., Pensotti, V., Hopper, J.L., Tsimiklis, H., Apicella, C., Southey, M.C., Brauch, H., Brüning, T., Ko, Y.-D., Sigurdson, A.J., Doody, M.M., Hamann, U., Torres, D., Ulmer, H.U., Försti, A., Sawyer, E., Tomlinson, I., Kerin, M.J., Miller, N., Andrulis, I.L., Knight, J.A., Glendon, G., Marie Mulligan, A., Chenevix-Trench, G., Balleine, R., Giles, G.G., Milne, R.L., McLean, C.A., Lindblom, A., Margolin, S., Haiman, C.A., Henderson, B.E., Schumacher, F., Le Marchand, L., Eilber, U., Wang-Gohrke, S., Hooning, M.J., Hollestelle, A., van den Ouweland, A.M.W., Koppert, L.B., Carpenter, J., Clarke, C., Scott, R., Mannermaa, A., Kataja, V., Kosma, V.-M., Hartikainen, J.M., Brenner, H., Arndt, V., Stegmaier, C., Karina Dieffenbach, A., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Grip, M., Offit, K., Vijai, J., Robson, M., Rau-Murthy, R., Dwek, M., Swann, R., Annie Perkins, K., Goldberg, M.S., Labrèche, F., Dumont, M., Eccles, D.M., Tapper, W.J., Rafiq, S., John, E.M., Whittemore, A.S., Slager, S., Yannoukakos, D., Toland, A.E., Yao, S., Zheng, W., Halverson, S.L., Gonzalez-Neira, A., Pita, G., Rosario Alonso, M., Álvarez, N., Herrero, D., Tessier, D.C., Vincent, D., Bacot, F., Luccarini, C., Baynes, C., Ahmed, S., Maranian, M., Healey, C.S., Simard, J., Hall, P., Easton, D.F., Garcia-Closas, M., Dos Santos Silva, I., Channock, S.J., Zamora, M.P., Ignacio Arias Perez, J., Neuhasen, S.L., Prokofieva, D., Mulligan, A.M., Halman, C.A., Dieffenbach, A.K., Perkins, K.A. and Alonso, M.R. 2015. Prediction of breast cancer risk based on profiling with common genetic variants. Journal of the National Cancer Institute. 107 (5). https://doi.org/10.1093/jnci/djv036

Genetic predisposition to in situ and invasive lobular carcinoma of the breast.
Sawyer, E., Roylance, R., Petridis, C., Brook, M.N., Nowinski, S., Papouli, E., Fletcher, O., Pinder, S., Hanby, A., Kohut, K., Gorman, P., Caneppele, M., Peto, J., Garcia-Closas, M. and Dwek, M. 2014. Genetic predisposition to in situ and invasive lobular carcinoma of the breast. PLoS genetics. 10 (4) e1004285. https://doi.org/10.1371/journal.pgen.1004285

Refined histopathological predictors of BRCA1 and BRCA2 mutation status: a large-scale analysis of breast cancer characteristics from the BCAC, CIMBA, and ENIGMA consortia.
Spurdle, A.B., Couch, F.J., Parsons, M.T., McGuffog, L., Barrowdale, D., Bolla, M.K., Wang, Q., Healey, S., Schmutzler, R., Wappenschmidt, B., Rhiem, K., Hahnen, E., Engel, C., kConFab Investigators and Dwek, M. 2014. Refined histopathological predictors of BRCA1 and BRCA2 mutation status: a large-scale analysis of breast cancer characteristics from the BCAC, CIMBA, and ENIGMA consortia. Breast Cancer Research. 16 3419. https://doi.org/10.1186/s13058-014-0474-y

Functional Studies On Receptor-Type Protein Tyrosine Phosphatases Of The R3 Subgroup Using Bimolecular Fluorescence Complementation (BiFC) Assays
Dorofejeva, O., Dwek, M. and Barr, A.J. 2014. Functional Studies On Receptor-Type Protein Tyrosine Phosphatases Of The R3 Subgroup Using Bimolecular Fluorescence Complementation (BiFC) Assays . Pharmacology 2014. London 16 Dec 2014 British Pharmacological Society.

A review of dynamic Bayesian network techniques with applications in healthcare risk modelling
Mesgarpour, M., Chaussalet, T.J. and Chahed, S. 2014. A review of dynamic Bayesian network techniques with applications in healthcare risk modelling. 4th Student Conference on Operational Research (SCOR14). Nottingham, UK May 2–4, 2014 Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik. https://doi.org/10.4230/OASIcs.SCOR.2014.89

Capacity planning of a perinatal network with generalised loss network model with overflow
Asaduzzaman, M. and Chaussalet, T.J. 2014. Capacity planning of a perinatal network with generalised loss network model with overflow. European Journal of Operational Research. 232 (1), pp. 178-185. https://doi.org/10.1016/j.ejor.2013.06.037

Towards an evidence-based decision making healthcare system management: modelling patient pathways to improve clinical outcomes
Adeyemi, S., Demir, E. and Chaussalet, T.J. 2013. Towards an evidence-based decision making healthcare system management: modelling patient pathways to improve clinical outcomes. Decision Support Systems. 55 (1), pp. 117-125. https://doi.org/10.1016/j.dss.2012.12.039

Preferential lectin binding of cancer cells upon sialic acid treatment under nutrient deprivation.
Badr, H.A., Elsayed, A.I., Ahmed, H., Dwek, M.V., Li, C.Z. and Djansugurova, L.B. 2013. Preferential lectin binding of cancer cells upon sialic acid treatment under nutrient deprivation. Applied Biochemistry and Biotechnology. 171, pp. 963-974. https://doi.org/10.1007/s12010-013-0409-6

Healthcare planning and its potential role increasing operational efficiency in the health sector: a viewpoint
Virtue, A., Chaussalet, T.J. and Kelly, J. 2013. Healthcare planning and its potential role increasing operational efficiency in the health sector: a viewpoint. Journal of Enterprise Information Management. 26 (1/2), pp. 8-20. https://doi.org/10.1108/17410391311289523

Conjugation of quantum dots on carbon nanotubes for medical diagnosis and treatment
Madani, S.Y., Shabani, F., Dwek, M. and Seifalian, A.M. 2013. Conjugation of quantum dots on carbon nanotubes for medical diagnosis and treatment. International Journal of Nanomedicine. 8 (1), pp. 941-950. https://doi.org/10.2147/IJN.S36416

A targeted glycoproteomic approach identifies cadherin-5 as a novel biomarker of metastatic breast cancer
Fry, S., Sinclair, J., Timms, J.F., Leathem, A. and Dwek, M. 2013. A targeted glycoproteomic approach identifies cadherin-5 as a novel biomarker of metastatic breast cancer. Cancer Letters. 328 (2), pp. 335-344. https://doi.org/10.1016/j.canlet.2012.10.011

Overcoming the barriers: a qualitative study of simulation adoption in the NHS
Brailsford, S.C., Bolt, T.B., Bucci, G., Chaussalet, T.J., Connell, N.A.D., Harper, P.R., Klein, J.H., Pitt, M. and Taylor, M. 2013. Overcoming the barriers: a qualitative study of simulation adoption in the NHS. Journal of the Operational Research Society. 64 (2), pp. 157-168. https://doi.org/10.1057/jors.2011.130

The DietCompLyf study: a prospective cohort study of breast cancer survival and phytoestrogen consumption
Swann, R., Perkins, K.A., Velentzis, L.S., Ciria, C., Dutton, S., Mulligan, A.A., Woodside, J., Cantwell, M.M., Leathem, A., Robertson, C.E. and Dwek, M. 2013. The DietCompLyf study: a prospective cohort study of breast cancer survival and phytoestrogen consumption. Maturitas. 75 (3), pp. 232-240. https://doi.org/10.1016/j.maturitas.2013.03.018

The DietCompLyf study: a prospective longitudinal study of breast cancer survival
Swann, R., Perkins, A., Velentzis, L.S., Mulligan, A.M., Woodside, J., Cantwell, M.M., Dutton, S., Leathem, A., Robertson, C.E. and Dwek, M. 2012. The DietCompLyf study: a prospective longitudinal study of breast cancer survival. European Journal of Cancer. 48 (5), p. S216. https://doi.org/10.1016/S0959-8049(12)71525-3

DietCompLyf study: a multi-centre UK study on breast cancer. What are the dietary and lifestyle changes following diagnosis?
Perkins, A., Swann, R., Woodside, J., Robertson, C.E., Dutton, S., Mulligan, A.M., Velentzis, L.S., Keshtgar, M.R., Leathem, A. and Dwek, M. 2012. DietCompLyf study: a multi-centre UK study on breast cancer. What are the dietary and lifestyle changes following diagnosis? European Journal of Cancer. 48 (5), p. S282. https://doi.org/10.1016/S0959-8049(12)71766-5

Identification of metastasis-associated glycoproteins in colorectal cancer
Peiris, D., Markiv, A., Curley, G.P. and Dwek, M. 2012. Identification of metastasis-associated glycoproteins in colorectal cancer. European Journal of Cancer. 48 (5), pp. S39-S40. https://doi.org/10.1016/S0959-8049(12)70863-8

19p13.1 is a triple negative-specific breast cancer susceptibility locus
Stevens, K.N., Fredericksen, Z., Vachon, C., Wang, X., Margolin, S., Lindblom, A., Nevanlinna, H., Greco, D., Aittomaki, K., Blomqvist, C., Chang-Claude, J., Vrieling, A., Flesch-Janys, D., Sinn, H.P., Wang-Gohrke, S., Nickels, S., Brauch, H., Ko, Y.-D., Fischer, H.P., Schmutzler, R.K., Meindl, A., Bartram, C.R., Schott, S., Engel, C., Godwin, A.K., Weaver, J., Pathak, H.B., Sharma, P., Brenner, H., Muller, H., Arndt, V., Stegmaier, C., Miron, P., Yannoukakos, D., Stavropoulou, A., Fountzilas, G., Gogas, H.J., Swann, R., Dwek, M., Perkins, A., Milne, R.L., Benitez, J., Zamora, M.P., Ignacio Arias Perez, J., Bojesen, S.E., Nielsen, S.F., Nordestgaard, B.G., Flyger, H., Guenel, P., Truong, T., Menegaux, F., Cordina-Duverger, E., Burwinkel, B., Marme, F., Schneeweiss, A., Sohn, C., Sawyer, E., Tomlinson, I., Kerin, M.J., Peto, J., Johnson, N., Fletcher, O., Dos Santos Silva, I., Fasching, P.A., Beckmann, M.W., Hartmann, A., Ekici, A.B., Lophatananon, A., Muir, K., Puttawibul, P., Wiangnon, S., Schmidt, M.K., Broeks, A., Braaf, L.M., Rosenberg, E.H., Hopper, J.L., Apicella, C., Park, D.J., Southey, M.C., Swerdlow, A.J., Ashworth, A., Orr, N., Schoemaker, M.J., Anton-Culver, H., Ziogas, A., Bernstein, L., Clarke Dur, C., Shen, C.Y., Yu, J.C., Hsu, H.M., Hsiung, C.N., Hamann, U., Dünnebier, T., Rüdiger, T., Ulmer, H.U., Pharoah, P.D.P., Dunning, A.M., Humphreys, M.K., Wang, Q., Cox, A., Cross, S.S., Reed, M.W.R., Hall, P., Czene, K., Ambrosone, C.B., Ademuyiwa, F., Hwang, H., Eccles, D.M., Garcia-Closas, M., Figueroa, J.D., Sherman, M.E., Lissowska, J., Devilee, P., Seynaeve, C., Tollenaar, R.A.E.M., Hooning, M.J., Andrulis, I.L., Knight, J.A., Glendon, G., Mulligan, A.M., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Grip, M., John, E.M., Miron, A., Grenaker Alnaes, G., Kristensen, V., Borresen-Dale, A.L., Giles, G.G., Baglietto, L., McLean, C.A., Severi, G., Kose, M.L., Pankratz, V.S., Slager, S., Olson, J.E., Radice, P., Peterlongo, P., Manoukian, S., Barile, M., Lambrechts, D., Hatse, S., Dieudonne, A.S., Christiaens, M.R., Chenevix-Trench, G., Beesley, J., Chen, X., Mannermaa, A., Kosma, V.-M., Hartikainen, J.M., Soini, Y., Easton, D.F., Couch, F.J. and Borrensen-Dale, A.-L. 2012. 19p13.1 is a triple negative-specific breast cancer susceptibility locus. Cancer Research. 72 (7), pp. 1795-1803. https://doi.org/10.1158/0008-5472.CAN-11-3364

Forecasting long-term care demand under incomplete information: a grey modelling approach
Worrall, P. and Chaussalet, T.J. 2012. Forecasting long-term care demand under incomplete information: a grey modelling approach. in: 2012 25th International symposium on computer-based medical systems (CBMS), 20-22 June 2012, Rome, Italy IEEE .

Development of a hybrid grey-fuzzy methodology to forecast future demand for long-term care
Worrall, P. and Chaussalet, T.J. 2012. Development of a hybrid grey-fuzzy methodology to forecast future demand for long-term care. High Tech Human Touch: Proceedings of the 38th ORAHS conference. University of Twente, The Netherlands. 16-20 July 2012

Healthcare planning: the simulation perspective
Virtue, A., Chaussalet, T.J. and Kelly, J. 2012. Healthcare planning: the simulation perspective. Operational research society simulation workshop 2012 (SW12). Worcestershire, England 27th - 28th March 2012

Using data mining and simulation for health system understanding and capacity planning: an application to urgent care
Tadjer, M., Chaussalet, T.J., Fouladinajed, F. and Chahed, S. 2012. Using data mining and simulation for health system understanding and capacity planning: an application to urgent care. High Tech Human Touch: Proceedings of the 38th ORAHS conference. University of Twente, The Netherlands. 16-20 July 2012

A risk analysis method for assessing risks based on interval-valued fuzzy number
Rathi, M. and Chaussalet, T.J. 2012. A risk analysis method for assessing risks based on interval-valued fuzzy number. in: 2012 IEEE International conference on computational intelligence and computing research (ICCIC), 18-20 December 2012, Coimbatore, India IEEE .

Predicting hospital resource utilization: a fuzzy regression approach
Rathi, M. and Chaussalet, T.J. 2012. Predicting hospital resource utilization: a fuzzy regression approach. High Tech Human Touch: Proceedings of the 38th ORAHS conference. University of Twente, The Netherlands. 16-20 July 2012

The lectin Helix pomatia agglutinin recognises O-GlcNAc containing glycoproteins in human breast cancer
Rambaruth, N.D.S., Greenwell, P. and Dwek, M. 2012. The lectin Helix pomatia agglutinin recognises O-GlcNAc containing glycoproteins in human breast cancer. Glycobiology. 22 (6), pp. 839-848. https://doi.org/10.1093/glycob/cws051

Functionalization of single-walled carbon nanotubes and their binding to cancer cells.
Madani, S.Y., Tan, A., Dwek, M. and Seifalian, A.M. 2012. Functionalization of single-walled carbon nanotubes and their binding to cancer cells. International Journal of Nanomedicine. 2012 (7), pp. 905-914. https://doi.org/10.2147/ijn.s25035

Nonparametric smoothing of the impact of climate change for some selected diseases: a case study for Greater London
Islam, M., Chaussalet, T.J., Ozkan, N. and Demir, E. 2012. Nonparametric smoothing of the impact of climate change for some selected diseases: a case study for Greater London. High Tech Human Touch: Proceedings of the 38th ORAHS conference. University of Twente, The Netherlands. 16-20 July 2012

Lectin array based strategies for identifying metastasis-associated changes in glycosylation
Fry, S., Afrough, B., Leathem, A. and Dwek, M. 2012. Lectin array based strategies for identifying metastasis-associated changes in glycosylation. Methods in Molecular Biology. 878, pp. 267-272. https://doi.org/10.1007/978-1-61779-854-2_18

2DE- based proteomics for the analysis of metastasis associated proteins
Dwek, M. and Peiris, D. 2012. 2DE- based proteomics for the analysis of metastasis associated proteins. Methods in Molecular Biology. 878, pp. 111-120. https://doi.org/10.1007/978-1-61779-854-2_7

Profiling hospitals based on emergency readmission: a multilevel transition modelling approach
Demir, E., Chaussalet, T.J., Adeyemi, S. and Toffa, S.E. 2012. Profiling hospitals based on emergency readmission: a multilevel transition modelling approach. Computer Methods and Programs in Biomedicine. 108 (2), pp. 487-499. https://doi.org/10.1016/j.cmpb.2011.03.003

A decision support tool for health service re-design
Demir, E., Chahed, S., Chaussalet, T.J., Toffa, S.E. and Fouladinajed, F. 2012. A decision support tool for health service re-design. Journal of Medical Systems. 36 (2), pp. 621-630. https://doi.org/10.1007/s10916-010-9526-8

How to predict high dependency cot demand in upcoming days
Dalton, S., Chahed, S. and Chaussalet, T.J. 2012. How to predict high dependency cot demand in upcoming days. ORAHS 2012 Conference: High Tech Human Touch. University of Twente Enschede, The Netherlands 15-20 July 2012

A novel approach to determining the affinity of protein-carbohydrate interactions employing adherent cancer cells grown on a biosensor surface
Peiris, D., Markiv, A., Curley, G.P. and Dwek, M. 2012. A novel approach to determining the affinity of protein-carbohydrate interactions employing adherent cancer cells grown on a biosensor surface. Biosensors and Bioelectronics. 35 (1), pp. 160-166. https://doi.org/10.1016/j.bios.2012.02.037

Beyond the genome and proteome: targeting protein modifications in cancer
Markiv, A., Rambaruth, N.D.S. and Dwek, M. 2012. Beyond the genome and proteome: targeting protein modifications in cancer. Current Opinions in Pharmacology.. 12 (4), pp. 408-413. https://doi.org/10.1016/j.coph.2012.04.003

Association of serum anti-Tn IgM with breast cancer recurrence
Afrough, B., Fry, S., Lomax-Browne, H., Perkins, A., Leathem, A. and Dwek, M. 2011. Association of serum anti-Tn IgM with breast cancer recurrence. Immunology. 135 (Supp.1), p. 153. https://doi.org/10.1111/j.1365-2567.2011.03534.x

A physiological approach to assess the affinity of lectin carbohydrate interactions using cancer cells immobilised on a biosensor surface
Peiris, D., Markiv, A. and Dwek, M. 2011. A physiological approach to assess the affinity of lectin carbohydrate interactions using cancer cells immobilised on a biosensor surface. Glycobiology. 21 (11), p. 1523. https://doi.org/10.1093/glycob/cwr126

Identification, cloning and characterization of two N-acetylgalactosamine binding lectins from the albumen gland of Helix pomatia
Markiv, A., Peiris, D., Curley, G.P., Odell, M. and Dwek, M. 2011. Identification, cloning and characterization of two N-acetylgalactosamine binding lectins from the albumen gland of Helix pomatia. Journal of Biological Chemistry. 286 (23), pp. 20260-20266. https://doi.org/10.1074/jbc.M110.184515

Capturing the readmission process: focus on time window
Demir, E. and Chaussalet, T.J. 2011. Capturing the readmission process: focus on time window. Journal of Applied Statistics. 38 (5), pp. 951-960. https://doi.org/10.1080/02664761003692415

An overflow loss network model for capacity planning of a perinatal network
Asaduzzaman, M. and Chaussalet, T.J. 2011. An overflow loss network model for capacity planning of a perinatal network. Journal of the Royal Statistical Society: Series A. 174 (2), pp. 403-417. https://doi.org/10.1111/j.1467-985X.2010.00669.x

Towards an optimal purchasing policy for nursing home placements in long-term care
Worrall, P. and Chaussalet, T.J. 2011. Towards an optimal purchasing policy for nursing home placements in long-term care. in: Operational Research Information National Health Policy: proceedings of the 37th ORAHS conference School of Mathematics, Cardiff University.

Development of a web-based system using the model view controller paradigm to facilitate regional long-term care planning
Worrall, P. and Chaussalet, T.J. 2011. Development of a web-based system using the model view controller paradigm to facilitate regional long-term care planning. in: Olive, M. and Solomonides, T. (ed.) Proceedings of CMBS: the 24th International Symposium on Computer-Based Medical Systems, June 27th – 30th, 2011, Bristol, United Kingdom IEEE .

A case study using simplified discrete-event simulation models as a tool to reconfigure health care services
Virtue, A., Chaussalet, T.J. and Kelly, J. 2011. A case study using simplified discrete-event simulation models as a tool to reconfigure health care services. in: Operational Research Information National Health Policy: proceedings of the 37th ORAHS conference School of Mathematics, Cardiff University.

Using simplified discrete-event simulation models for real world health care applications
Virtue, A., Chaussalet, T.J. and Kelly, J. 2011. Using simplified discrete-event simulation models for real world health care applications. in: Jain, S., Creasey, R.R., Himmelspach, J., White, K.P. and Fu, M. (ed.) Proceedings of the 2011 Winter Simulation Conference WSC.

Towards a full implementation of collaborative care plan. OR Informing National Health Policy
Tadjer, M., Chaussalet, T.J., Fouladinejad, F., Chahed, S., Saiyed, S., Redzanovic, S. and Fouladinajed, F. 2011. Towards a full implementation of collaborative care plan. OR Informing National Health Policy. in: Operational Research Information National Health Policy: proceedings of the 37th ORAHS conference School of Mathematics, Cardiff University.

Abstract B76 - An overview of the DietCompLyf study - a multicentre UK study to evaluate the role of diet, lifestyle and complementary medicine use on breast cancer recurrence
Swann, R., Perkins, A., Dahya, P., Woodside, J., Dutton, S., Robertson, C.E., Velentzis, L.S., Leathem, A. and Dwek, M. 2011. Abstract B76 - An overview of the DietCompLyf study - a multicentre UK study to evaluate the role of diet, lifestyle and complementary medicine use on breast cancer recurrence. National Cancer Research Institute (NCRI) Cancer Conference 2011. BT Convention Centre, Liverpool, UK 06 - 09 Nov 2011

Data warehousing based architecture for the reporting of the NHS primary care prescribing
Redzanovic, S., Chountas, P., Chaussalet, T.J., Fouladinejad, F., Tadjer, M. and Fouladinajed, F. 2011. Data warehousing based architecture for the reporting of the NHS primary care prescribing. in: Olive, M. and Solomonides, T. (ed.) Proceedings of CMBS: the 24th International Symposium on Computer-Based Medical Systems, June 27th – 30th, 2011, Bristol, United Kingdom IEEE .

Separation and characterization of different isoform populations of PSA in seminal fluid
Lines, A., Clarke, O., Dwek, M., Packer, S. and Edwards, R. 2011. Separation and characterization of different isoform populations of PSA in seminal fluid. American Association for Clinical Chemists Meeting. Atlanta, Georgia 15 - 19 Jul 2011

Exploring the effect of temperature variations on unplanned asthma admissions
Islam, M.S., Chaussalet, T.J., Balta-Ozkan, N. and Demir, E. 2011. Exploring the effect of temperature variations on unplanned asthma admissions. in: Operational Research Information National Health Policy: proceedings of the 37th ORAHS conference School of Mathematics, Cardiff University. pp. 74-88

The impact of temperature disparity on emergency readmissions and patient flows
Islam, M.S., Chaussalet, T.J., Balta-Ozkan, N., Chahed, S., Demir, E. and Sarran, C. 2011. The impact of temperature disparity on emergency readmissions and patient flows. in: Olive, M. and Solomonides, T. (ed.) Proceedings of CMBS: the 24th International Symposium on Computer-Based Medical Systems, June 27th – 30th, 2011, Bristol, United Kingdom IEEE .

Abstract LB14 - Lectin microarray profilling of metastatic breast cancers
Fry, S., Afrough, B., Lomax-Browne, H., Timms, J.F., Velentzis, L.S. and Dwek, M. 2011. Abstract LB14 - Lectin microarray profilling of metastatic breast cancers. National Cancer Research Institute (NCRI) Cancer Conference 2011. BT Convention Centre, Liverpool, UK 06 - 09 Nov 2011

Modelling high dependency care in the local neonatal unit
Dalton, S. and Chaussalet, T.J. 2011. Modelling high dependency care in the local neonatal unit. in: Operational Research Information National Health Policy: proceedings of the 37th ORAHS conference Cardiff School of Mathematics, Cardiff University.

Nonproportional random effects modelling of a neonatal unit operational patient pathways
Adeyemi, S., Chaussalet, T.J. and Demir, E. 2011. Nonproportional random effects modelling of a neonatal unit operational patient pathways. Statistical Methods and Applications. 20 (4), pp. 507-518. https://doi.org/10.1007/s10260-011-0174-z

Measuring and modelling occupancy time in NHS continuing healthcare
Chahed, S., Demir, E., Chaussalet, T.J., Millard, P.H. and Toffa, S.E. 2011. Measuring and modelling occupancy time in NHS continuing healthcare. BMC Health Services Research. 11 (155), p. 1. https://doi.org/10.1186/1472-6963-11-155

Editorial: IMA Health 2010
Vasilakis, C., Chaussalet, T.J. and Baker, R.D. 2011. Editorial: IMA Health 2010. Health Care Management Science. 14 (3), pp. 213-214. https://doi.org/10.1007/s10729-011-9174-7

Cell surface glycan-lectin interactions in tumor metastasis
Rambaruth, N.D.S. and Dwek, M. 2011. Cell surface glycan-lectin interactions in tumor metastasis. Acta Histochemica. 113 (6), pp. 591-600. https://doi.org/10.1016/j.acthis.2011.03.001

A loss network model with overflow for capacity planning of a neonatal unit
Asaduzzaman, M., Chaussalet, T.J. and Robertson, N.J. 2010. A loss network model with overflow for capacity planning of a neonatal unit. Annals of Operations Research. 178 (1), pp. 67-76. https://doi.org/10.1007/s10479-009-0548-x

Random effects models for operational patient pathways
Adeyemi, S., Chaussalet, T.J., Xie, H. and Assaduzzman, M. 2010. Random effects models for operational patient pathways. Journal of Applied Statistics. 37 (4), pp. 691-701. https://doi.org/10.1080/02664760902873951

Breast cancer invasion is mediated by beta-N-acetylglucosaminidase (beta-NAG) and associated with a dysregulation in the secretory pathway of cancer cells
Ramessur, K.T., Greenwell, P., Nash, R. and Dwek, M. 2010. Breast cancer invasion is mediated by beta-N-acetylglucosaminidase (beta-NAG) and associated with a dysregulation in the secretory pathway of cancer cells. British Journal of Biomedical Science. 67 (4), pp. 189-196.

Revealing real-time cell surface interaction analysis: a focus on lectin - cell glycan interactions
Dwek, M. 2010. Revealing real-time cell surface interaction analysis: a focus on lectin - cell glycan interactions. Discovery-Summit. Majestic Barrière Hotel, Cannes, France 22nd – 24th March 2010

Revealing real-time cell surface interaction analysis: a focus on lectin - cell glycan interactions
Dwek, M. 2010. Revealing real-time cell surface interaction analysis: a focus on lectin - cell glycan interactions. Informa Life Sciences 6th Annual Next Generation Protein Therapeutics. Sheraton Brussels Hotel, Belgium 28th – 29th September 2010

GalNAc-recognition by lectins for cancer prognostication
Dwek, M. 2010. GalNAc-recognition by lectins for cancer prognostication. 105th Annual Meeting of the Anatomische Gesellschaft. Hamburg, Germany 29th March 2010

An evaluation of breast cancer cell line sialyltransferase expression levels and assessment of possible correlation with HPA lectin binding profiles
Blaszczak, E., Greenwell, G. and Dwek, M. 2010. An evaluation of breast cancer cell line sialyltransferase expression levels and assessment of possible correlation with HPA lectin binding profiles. Horizons in Molecular Biology: International PhD Student Symposium. Göttingen, Germany 27 - 30 Sep 2010

Analysis of variability in neonatal care units: a retrospective analysis
Adeyemi, S., Demir, E., Chahed, S. and Chaussalet, T.J. 2010. Analysis of variability in neonatal care units: a retrospective analysis. in: IEEE Workshop on Health Care Management (WHCM), Venice, 18-20 February 2010 IEEE . pp. 1-6

Towards effective capacity planning in a perinatal network centre
Asaduzzaman, M., Chaussalet, T.J., Adeyemi, S., Chahed, S., Hawdon, J., Wood, D. and Robertson, N.J. 2010. Towards effective capacity planning in a perinatal network centre. Archives of Disease in Childhood. Fetal and Neonatal Edition. 95 (4), pp. F283-F287. https://doi.org/10.1136/adc.2009.161661

A sensitive assay to measure biomarker glycosylation demonstrates increased fucosylation of prostate specific antigen (PSA) in patients with prostate cancer compared with benign prostatic hyperplasia
Dwek, M., Jenks, A. and Leathem, A. 2010. A sensitive assay to measure biomarker glycosylation demonstrates increased fucosylation of prostate specific antigen (PSA) in patients with prostate cancer compared with benign prostatic hyperplasia. Clinica Chimica Acta. 411 (23-24), pp. 1935-1939. https://doi.org/10.1016/j.cca.2010.08.009

Cancer prognostication using a recombinant form of the lectin from Helix pomatia agglutinin
Dwek, M., Markiv, A. and Odell, M. 2009. Cancer prognostication using a recombinant form of the lectin from Helix pomatia agglutinin. Glycobiology. 19 (11), p. 1318. https://doi.org/10.1093/glycob/cwp135

UEA-1 enables discrimination between prostate specific antigen from patients with prostate cancer and benign prostatic hyperplasia
Dwek, M., Jenks, A. and Leathem, A. 2009. UEA-1 enables discrimination between prostate specific antigen from patients with prostate cancer and benign prostatic hyperplasia. Glycobiology. 19 (11), p. 1318. https://doi.org/10.1093/glycob/cwp135

A Grid implementation for profiling hospitals based on patient readmissions
Demir, E., Chaussalet, T.J., Weingarten, N. and Kiss, T. 2009. A Grid implementation for profiling hospitals based on patient readmissions. in: McClean, S.I., Millard, P.H., El-Darzi, E. and Nugent, C. (ed.) Intelligent patient management Springer.

A systematic approach in defining readmission
Demir, E. and Chaussalet, T.J. 2009. A systematic approach in defining readmission. in: Proceedings of the 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS 2009) IEEE . pp. 1-7

The analyses of individual patient pathways: investigating regional variation in COPD readmissions
Adeyemi, S., Chaussalet, T.J., Xie, H. and Asaduzzaman, M. 2009. The analyses of individual patient pathways: investigating regional variation in COPD readmissions. in: Sakalauskas, L., Skiadas, C. and Zavadskas, E.K. (ed.) Proceedings of the 13th International Conference "Applied Stochastic Models and Data Analysis", ASMDA 2009, 30 June – 3 July 2009, Vilnius, Lithuania ASMDA. pp. 316-319

Models for extracting information on patient pathways
Adeyemi, S. and Chaussalet, T.J. 2009. Models for extracting information on patient pathways. in: McClean, S.I., Millard, P.H., El-Darzi, E. and Nugent, C. (ed.) Intelligent patient management Springer.

Editorial: Applying mathematics to problems in health care: a call to pencils
Utley, M., Chaussalet, T.J. and Baker, R.D. 2009. Editorial: Applying mathematics to problems in health care: a call to pencils. IMA Journal of Management Mathematics. 20 (4), pp. 323-323. https://doi.org/10.1093/imaman/dpn036

Modelling risk of readmission with phase-type distribution and transition models
Demir, E., Chaussalet, T.J., Xie, H. and Millard, P.H. 2009. Modelling risk of readmission with phase-type distribution and transition models. IMA Journal of Management Mathematics. 20 (4), pp. 357-367. https://doi.org/10.1093/imaman/dpn032

Emergency readmission criterion: a technique for determining emergency readmission time window
Demir, E., Chaussalet, T.J., Xie, H. and Millard, P.H. 2008. Emergency readmission criterion: a technique for determining emergency readmission time window. IEEE Transactions on Information Technology in Biomedicine. 12 (5), pp. 644-649. https://doi.org/10.1109/TITB.2007.911311

Modelling and performance measure of a perinatal network centre in the United Kingdom
Asaduzzaman, M. and Chaussalet, T.J. 2008. Modelling and performance measure of a perinatal network centre in the United Kingdom. in: Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, IEEE CBMS 2008, Jyväskylä, 17-19 June 2008 Los Alamitos, USA IEEE . pp. 506-511

A random effects sensitivity analysis for patient pathways model
Adeyemi, S. and Chaussalet, T.J. 2008. A random effects sensitivity analysis for patient pathways model. in: Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, IEEE CBMS 2008, Jyväskylä, 17-19 June 2008 Los Alamitos, USA IEEE . pp. 536-538

Balancing the NHS balanced scorecard!
Patel, B., Chaussalet, T.J. and Millard, P.H. 2008. Balancing the NHS balanced scorecard! European Journal of Operational Research. 185 (3), pp. 905-914. https://doi.org/10.1016/j.ejor.2006.02.056

Editorial: IMA Health 2007
Baker, R.D., Chaussalet, T.J. and Utley, M. 2008. Editorial: IMA Health 2007. Health Care Management Science. 11 (2), pp. 87-88. https://doi.org/10.1007/s10729-008-9065-8

Colorectal cancer – a sticky problem
Dwek, M. 2007. Colorectal cancer – a sticky problem. Oncology News. 2 (3), pp. 19-21.

An objective method for bed capacity planning in a hospital department - a comparison with target ratio methods.
Nguyen, J.M., Six, P., Chaussalet, T.J., Antonioli, D., Lombrail, P. and Le Beux, P. 2007. An objective method for bed capacity planning in a hospital department - a comparison with target ratio methods. Methods of Information in Medicine. 46 (4), pp. 399-405. https://doi.org/10.1160/me0385

A semi-open queueing network approach to the analysis of patient flow in healthcare systems
Xie, H., Chaussalet, T.J. and Rees, M. 2007. A semi-open queueing network approach to the analysis of patient flow in healthcare systems. in: Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems. IEEE CBMS 2007, Maribor, Slovenia, 20-22 June 2007 Los Alamitos, USA IEEE . pp. 719-724

Determining readmission time window using mixture of generalised Erlang distribution
Demir, E., Chaussalet, T.J. and Xie, H. 2007. Determining readmission time window using mixture of generalised Erlang distribution. in: Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems. IEEE CBMS 2007, Maribor, Slovenia, 20-22 June 2007 Los Alamitos, USA IEEE . pp. 21-26

Developing an application of an accident and emergency patient simulation modelling using an interactive framework
Codrington-Virtue, A., Chaussalet, T.J., Whittlestone, P. and Kelly, J. 2007. Developing an application of an accident and emergency patient simulation modelling using an interactive framework. in: Brailsford, S. and Harper, P.R. (ed.) Operational research for health policy: making better decisions: proceedings of the 31st Annual Conference of the European Working Group on Operational Research Applied to Health Services Oxford ; New York Peter Lang. pp. 61-76

Patients flow: a mixed-effects modelling approach to predicting discharge probabilities
Adeyemi, S., Chaussalet, T.J., Xie, H. and Millard, P.H. 2007. Patients flow: a mixed-effects modelling approach to predicting discharge probabilities. in: Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems. IEEE CBMS 2007, Maribor, Slovenia, 20-22 June 2007 Los Alamitos, USA IEEE . pp. 725-730

A simple graphical decision aid for the placement of elderly people in long-term care
Xie, H., Chaussalet, T.J., Thompson, W.A. and Millard, P.H. 2007. A simple graphical decision aid for the placement of elderly people in long-term care. Journal of the Operational Research Society. 58 (4), pp. 446-453. https://doi.org/10.1057/palgrave.jors.2602179

Predictors of axillary lymph node metastasis in breast cancer: a systematic review
Patani, N.R., Dwek, M. and Douek, M. 2007. Predictors of axillary lymph node metastasis in breast cancer: a systematic review. European Journal of Surgical Oncology. 33 (4), pp. 409-419. https://doi.org/10.1016/j.ejso.2006.09.003

Identification and elimination of false-positives in an ELISA-based system for qualitative assessment of glycoconjugate binding using a selection of plant lectins.
Afrough, B., Dwek, M. and Greenwell, P. 2007. Identification and elimination of false-positives in an ELISA-based system for qualitative assessment of glycoconjugate binding using a selection of plant lectins. BioTechniques. 43 (4), pp. 458-462. https://doi.org/10.2144/000112554

Proteome analysis of metastatic colorectal cancer cells recognized by the lectin Helix pomatia agglutinin (HPA)
Saint-Guirons, J., Zeqiraj, E., Schumacher, U., Greenwell, P. and Dwek, M. 2007. Proteome analysis of metastatic colorectal cancer cells recognized by the lectin Helix pomatia agglutinin (HPA). Proteomics. 7 (22), pp. 4082-4089. https://doi.org/10.1002/pmic.200700434

The ICMCC second conference on "Medical and Care Compunetics"
Chaussalet, T.J. and Bos, L. 2006. The ICMCC second conference on "Medical and Care Compunetics". International Journal of Medical Informatics. 75 (9), pp. vii-viii. https://doi.org/10.1016/S1386-5056(06)00188-2

A model-based approach to the analysis of patterns of length of stay in institutional long-term care
Xie, H., Chaussalet, T.J. and Millard, P.H. 2006. A model-based approach to the analysis of patterns of length of stay in institutional long-term care. IEEE Transactions on Information Technology in Biomedicine. 10 (3), pp. 512-518. https://doi.org/10.1109/TITB.2005.863820

Breast cancer proteomics using two-dimensional electrophoresis: studying the breast cancer proteome
Dwek, M.V. and Rawlings, S.L. 2006. Breast cancer proteomics using two-dimensional electrophoresis: studying the breast cancer proteome. in: Brooks, S. and Harris, A. (ed.) Breast Cancer Research Protocols New Jersey, USA Humana Press. pp. 231-243

A proteomic approach to identify the integrins α 6 and α V as HPA binding partners in the metastatic colorectal cancer cell line HT29
Saint-Guirons, J., Zeqiraj, E., Greenwell, P. and Dwek, M. 2006. A proteomic approach to identify the integrins α 6 and α V as HPA binding partners in the metastatic colorectal cancer cell line HT29. Molecular and Cellular Proteomics. 5 (10 (supplement)), p. S148.

A method for determining an emergency readmission time window for better patient management
Demir, E., Chaussalet, T.J., Xie, H. and Millard, P.H. 2006. A method for determining an emergency readmission time window for better patient management. in: Lee, D.J., Nutter, B., Antani, S., Mitra, S. and Archibald, J. (ed.) Nineteenth IEEE International Symposium on Computer-Based Medical Systems: 22-23 June June 2006, Salt Lake City, Utah. Proceedings Las Alamitos, USA IEEE . pp. 789-793

A system for patient management based discrete-event simulation and hierarchical clustering
Codrington-Virtue, A., Chaussalet, T.J., Millard, P.H., Whittlestone, P. and Kelly, J. 2006. A system for patient management based discrete-event simulation and hierarchical clustering. in: Lee, D.J., Nutter, B., Antani, S., Mitra, S. and Archibald, J. (ed.) Nineteenth IEEE International Symposium on Computer-Based Medical Systems: 22-23 June 2006, Salt Lake City, Utah. Proceedings Las Alamitos, USA IEEE . pp. 800-804

A closed queueing network approach to the analysis of patient flow in health care systems
Chaussalet, T.J., Xie, H. and Millard, P.H. 2006. A closed queueing network approach to the analysis of patient flow in health care systems. Methods of Information in Medicine. 45 (5), pp. 492-497.

A software tool to aid long-term care budget planning at local authority level
Xie, H., Chaussalet, T.J., Toffa, S.E. and Crowther, P. 2006. A software tool to aid long-term care budget planning at local authority level. International Journal of Medical Informatics. 75 (9), pp. 664-670. https://doi.org/10.1016/j.ijmedinf.2006.04.009

Six methodological steps to build medical data warehouses for research
Szirbik, N., Pelletier, C. and Chaussalet, T.J. 2006. Six methodological steps to build medical data warehouses for research. International Journal of Medical Informatics. 75 (9), pp. 683-691. https://doi.org/10.1016/j.ijmedinf.2006.04.003

On the use of multi-state multi-census techniques for modelling the survival of elderly people in institutional long-term care
Pelletier, C., Chaussalet, T.J. and Xie, H. 2005. On the use of multi-state multi-census techniques for modelling the survival of elderly people in institutional long-term care. IMA Journal of Management Mathematics. 16 (3), pp. 255-264. https://doi.org/10.1093/imaman/dpi021

Confocal microscopy for the identification of glycosylation changes associated with metastatic colorectal cancer
Zeqiraj, E., Saint-Guirons, J., Kerrigan, M.J.P. and Dwek, M. 2005. Confocal microscopy for the identification of glycosylation changes associated with metastatic colorectal cancer. The Molecular Biology of Colorectal Cancer. UBHT Education Centre, Bristol, UK 10 - 11 Mar 2005

A software tool to aid budget planning for long-term care at local authority level
Xie, H., Chaussalet, T.J., Toffa, S.E. and Crowther, P. 2005. A software tool to aid budget planning for long-term care at local authority level. in: Bos, L., Laxminarayan, S. and Marsh, A.J. (ed.) Medical and care compunetics 2 Oxford, UK IOS Press.

A tool for studying the effects of residents' attributes on patterns of length of stay in long-term care
Xie, H., Chaussalet, T.J. and Millard, P.H. 2005. A tool for studying the effects of residents' attributes on patterns of length of stay in long-term care. in: Tsymbal, A. and Cunningham, P. (ed.) Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems: 23-25 June 2005, Dublin, Ireland USA IEEE . pp. 473-478

Crossing heterogeneous information sources for better analysis in long term care for elderly people
Pelletier, C., Szirbik, N. and Chaussalet, T.J. 2005. Crossing heterogeneous information sources for better analysis in long term care for elderly people. in: Bos, L., Laxminarayan, S. and Marsh, A.J. (ed.) Medical and care compunetics 2 Oxford, UK IOS Press.

The metabolic role of methymalonyl CoA mutase in Escherichia coli
Kannan, S.M., Dwek, M., Bucke, C. and Roy, I. 2005. The metabolic role of methymalonyl CoA mutase in Escherichia coli. Proceedings of Viteomics: structure and function of vitamins and cofactors. Cambridge, UK 2005

Structure/function of N-glycans
Dwek, M. 2005. Structure/function of N-glycans. in: Redei, G.P. (ed.) Encyclopedic dictionary of genetics, genomics, and proteomics. 2nd edition Hoboken, USA Wiley.

Glycoproteomics
Dwek, M. 2005. Glycoproteomics. in: Redei, G.P. (ed.) Encyclopedic dictionary of genetics, genomics, and proteomics. 2nd edition Hoboken, USA Wiley.

An interactive framework for developing simulation models of hospital accident and emergency services
Codrington-Virtue, A., Whittlestone, P., Kelly, J. and Chaussalet, T.J. 2005. An interactive framework for developing simulation models of hospital accident and emergency services. in: Bos, L., Laxminarayan, S. and Marsh, A.J. (ed.) Medical and care compunetics 2 Oxford, UK IOS Press.

A continuous time Markov model for the length of stay of elderly people in institutional long-term care
Xie, H., Chaussalet, T.J. and Millard, P.H. 2005. A continuous time Markov model for the length of stay of elderly people in institutional long-term care. Journal of the Royal Statistical Society: Series A. 168 (1), pp. 51-61. https://doi.org/10.1111/j.1467-985X.2004.00335.x

A framework for predicting gross institutional long-term care cost arising from known commitments at local authority level
Pelletier, C., Chaussalet, T.J. and Xie, H. 2005. A framework for predicting gross institutional long-term care cost arising from known commitments at local authority level. Journal of the Operational Research Society. 56 (2), pp. 144-152. https://doi.org/10.1057/palgrave.jors.2601892

Harnessing changes in cellular glycosylation in new cancer treatment strategies.
Dwek, M.V. and Brooks, S.A. 2004. Harnessing changes in cellular glycosylation in new cancer treatment strategies. Current Cancer Drug Targets. 4 (5), pp. 425-442. https://doi.org/10.2174/1568009043332899

Integrating data on the long-term care for elderly people from heterogeneous sources in support of research
Chaussalet, T.J. and Thompson, W.A. 2004. Integrating data on the long-term care for elderly people from heterogeneous sources in support of research. in: Proceedings of the 10th Mediterranean Conference of the International Federation for Medical and Biological Engineering (MEDICON 2004), Ischia, Italy, 31 Jul - 5 Aug 2004 Ghedimedia.

Time for a new approach for reporting herbal medicine adverse events?
Peters, D., Donaldson, J., Chaussalet, T.J., Toffa, S.E., Whitehouse, J., Carroll, D. and Barry, P. 2003. Time for a new approach for reporting herbal medicine adverse events? Journal of Alternative & Complementary Medicine. 9 (5), pp. 607-609.

Modelling survival in long term care of older people
Pelletier, C., Chaussalet, T.J. and Millard, P.H. 2003. Modelling survival in long term care of older people. 1st MEDINF International Conference on Medical Informatics and Engineering (MEDINF 2003). Craiova, Romania 06-09 Oct 2003

Glycoproteomics
Dwek, M. and Mills, P. 2003. Glycoproteomics. in: Redei, G.P. (ed.) Encyclopedic dictionary of genetics, genomics, and proteomics Chichester, UK Wiley.

Structure/function of N-glycans
Brooks, S. and Dwek, M. 2003. Structure/function of N-glycans. in: Redei, G.P. (ed.) Encyclopedic dictionary of genetics, genomics, and proteomics Chichester, UK Wiley.

Proteome analysis enables separate clustering of normal breast, benign breast and breast cancer tissues
Dwek, M. and Alaiya, A.A. 2003. Proteome analysis enables separate clustering of normal breast, benign breast and breast cancer tissues. British Journal of Cancer. 89 (2), pp. 305-307. https://doi.org/10.1038/sj.bjc.6601008

Modelling decisions of a multidisciplinary panel for admission to long-term care
Xie, H., Chaussalet, T.J., Thompson, W.A. and Millard, P.H. 2002. Modelling decisions of a multidisciplinary panel for admission to long-term care. Health Care Management Science. 5 (4), pp. 291-295. https://doi.org/10.1023/A:1020338308191

Current perspectives in cancer proteomics
Dwek, M.V. and Rawlings, S.L. 2002. Current perspectives in cancer proteomics. Molecular Biotechnology. 22 (2), pp. 139-152. https://doi.org/10.1385/mb:22:2:139

Functional and molecular glycobiology
Brooks, S., Dwek, M. and Schumacher, U. 2002. Functional and molecular glycobiology. Oxford, UK BIOS Scientific.

Use of proteomic methodology for the characterization of human milk fat globular membrane proteins
Charlwood, J., Hanrahan, S., Tyldesley, R., Langridge, J., Dwek, M. and Camilleri, P. 2002. Use of proteomic methodology for the characterization of human milk fat globular membrane proteins. Analytical Biochemistry. 301 (2), pp. 314-324. https://doi.org/10.1006/abio.2001.5498

Data requirements in a model of the natural history of Alzheimer's disease
Chaussalet, T.J. and Thompson, W.A. 2001. Data requirements in a model of the natural history of Alzheimer's disease. Health Care Management Science. 4 (1), pp. 13-19. https://doi.org/10.1023/A:1009689329661

Subgroup analyses of cost of care in a Markov model of the natural history of Alzheimer's disease
Thompson, W.A. and Chaussalet, T.J. 2001. Subgroup analyses of cost of care in a Markov model of the natural history of Alzheimer's disease. in: Simulation in the Health and Medical Sciences 2001: Proceedings of the 2001 Western Multiconference, January 7-11 2001, Phoenix, Arizona California, USA Society for Computer Simulation. pp. 41-44

Helix pomatia agglutinin lectin-binding oligosaccharides of aggressive breast cancer.
Dwek, M., Ross, H.A., Streets, A.J., Brooks, S.A., Adam, E., Titcomb, A., Woodside, J.V., Schumacher, U. and Leathem, A.J. 2001. Helix pomatia agglutinin lectin-binding oligosaccharides of aggressive breast cancer. International Journal of Cancer. 95 (2), pp. 79-85. https://doi.org/10.1002/1097-0215(20010320)95:2<79::aid-ijc1014>3.0.co;2-e

Editorial: Modelling the process of care
Chaussalet, T.J. and El-Darzi, E. 2001. Editorial: Modelling the process of care. Health Care Management Science. 4 (1), p. 5. https://doi.org/10.1023/A:1009659711914

Proteome and glycosylation mapping identifies post-translational modifications associated with aggressive breast cancer.
Dwek, M.V., Ross, H.A. and Leathem, A.J. 2001. Proteome and glycosylation mapping identifies post-translational modifications associated with aggressive breast cancer. Proteomics. 1 (6), pp. 756-763. https://doi.org/10.1002/1615-9861(200106)1:6<756::aid-prot756>3.0.co;2-x

A detailed analysis of neutral and acidic carbohydrates in human milk
Charlwood, J., Tolson, D., Dwek, M. and Camilleri, P. 1999. A detailed analysis of neutral and acidic carbohydrates in human milk. Analytical Biochemistry. 273 (2), pp. 261-277. https://doi.org/10.1006/abio.1999.4232

Breast cancer progression is associated with a reduction in the diversity of sialylated and neutral oligosaccharides.
Dwek, M.V., Lacey, H.A. and Leathem, A.J. 1998. Breast cancer progression is associated with a reduction in the diversity of sialylated and neutral oligosaccharides. Clinica Chimica Acta. 271 (2), pp. 191-202. https://doi.org/10.1016/s0009-8981(97)00258-1

Release and analysis of polypeptides and glycopolypeptides from formalin-fixed, paraffin wax-embedded tissue
Brooks, S.A., Dwek, M.V. and Leathem, A.J. 1998. Release and analysis of polypeptides and glycopolypeptides from formalin-fixed, paraffin wax-embedded tissue. The Histochemical journal. 30, pp. 609-615. https://doi.org/10.1023/a:1003222931605

Identification, purification and analysis of a 55 kDa lectin binding glycoprotein present in breast cancer tissue.
Streets, A.J., Brooks, S.A., Dwek, M.V. and Leathem, A.J. 1996. Identification, purification and analysis of a 55 kDa lectin binding glycoprotein present in breast cancer tissue. Clinica Chimica Acta. 254 (1), pp. 47-61. https://doi.org/10.1016/0009-8981(96)06363-2

Oligosaccharide release from frozen and paraffin-wax-embedded archival tissues.
Dwek, M.V., Brooks, S.A., Streets, A.J., Harvey, D.J. and Leathem, A.J. 1996. Oligosaccharide release from frozen and paraffin-wax-embedded archival tissues. Analytical Biochemistry. 242 (1), pp. 8-14. https://doi.org/10.1006/abio.1996.0420

Altered expression of N-acetyl galactosamine glycoproteins by breast cancers.
Brooks, S.A., Leathem, A.J. and Dwek, M.V. 1994. Altered expression of N-acetyl galactosamine glycoproteins by breast cancers. Biochemical Society Transactions. 22 (2), p. 95S. https://doi.org/10.1042/bst022095s