Mathematical Models in Oncology.
We intend to address a number of problems of relevance in Oncology from the point of view of mathematical modelling. We will build mathematical models incorporating the essential biological features of the problems under study, which include tumor heterogeneity, gliomas and medical imaging and spatiotemporal models in different types of cancers. We intend to provide both relevant methodological contributions and results of interest for the applications.
Mathematical models are used in Science and Engineering to create conceptual frameworks in order to understand Nature and provide solutions to real-world problems. Here we intend to address different problems in the broad field of
mathematical oncology, which aim to lay the groundwork for further application studies.
The researchers working on this project are MOLAB members Alicia Martínez-González, Gabriel F. Calvo, Juan Belmonte-Beitia, Ignacio Ramís Conde, Julián Pérez-Beteta, David Molina, Víctor M. Pérez-García (PI) and María Rosa Durán, together with some external collaborators
Beyond this project
The methodological advances provided by this project are being used on the different application fields of interest of the MOLAB group. They are leading to proposals under testing in clinical studies.