Mathematics against leukemias
Acute Lymphoblastic Leukemias are the type of cancer with the highest incidence in children. Although 80% of patients are cured with current therapeutic approaches, a fraction of patients still relapse and die because of the disease. Standard management of the disease requires a risk classification in three groups depending on several factors and a therapy that consists of three stages: induction, consolidation and maintenance, each with specific combinations of different drugs. We intend to use mathematical algorithms to improve patient classification, identify relapse risk and design personalized treatments by better using the large amount of data available.
CAR T cell therapy in B-cell acute lymphoblastic leukaemia: Insights from mathematical modelsO. León-Triana, S. Sabir, GF Calvo, J Belmonte-Beitia, S Chulian, A Martínez-Rubio, M Rosa, A Pérez-Martínez, M Ramírez-Orellana, VM Pérez-GarcíaComm Nonlin Sci Numer Simul 94, 105570 (2021)
CAR T cells for T-cell leukemias: Insights from mathematical modelsVíctor M. Pérez-García, Odelaisy León-Triana, María Rosa, Antonio Pérez-MartínezComm Nonlin Sci Numer Simul (2020, submitted)
Dynamical properties of feedback signalling in B lymphopoiesis: A mathematical modelling approachSalvador Chulián, Álvaro Martínez-Rubio, Anna Marciniak-Czochra, Thomas Stiehl, Cristina Blázquez Goñi, Juan Francisco Rodríguez Gutiérrez, Manuel Ramirez Orellana, Ana Castillo Robleda, Víctor M. Pérez-García, María RosaJournal of Theoretical Biology (2020, submitted)