Mathematical oncology is defined by the collection of mathematical and computational tools used to study and predict the various phenomena occurring in cancer. Despite the progress made in this field over the last few decades, the complexity and the multitude of biological processes involved in cancer remain significant challenges for mathematicians.
This workshop aims to foster interaction between mathematicians and researchers working in the field of oncology. This interaction is crucial to enable researchers to benefit from the power of mathematical tools. Mathematicians, statisticians, and bioinformaticians will present mathematical and numerical techniques used in interdisciplinary projects. To facilitate dialogue across specialties, the presentations will aim to be understandable by those new to mathematical oncology, applied statistics, or bioinformatics. We hope that new ideas will emerge and that new collaborations may be initiated as a result of the workshop.
The workshop will take place the 24th and 25th of April 2024 at the Oncolille institute in Lille (France).
If you want to follow the workshop online, please register and send an email to the organizers specifying you are an online participant. A zoom link will be sent to you by email.
Alice Leroy (SMMiL-E, LIMMS/CNRS-IIS, Lille): Blood vessels-on-chip model of the vascular barrier.
Rachid Ouifki (North-West University): Mathematical modelling and optimization of combined anti-estrogen and p53-based therapies for ER+ breast cancer.
Giulia Pozzi (DISMA - Politecnico di Torino): T cell therapy against cancer: A predictive diffuse-interface mathematical model informed by pre-clinical studies.
Mehmet C. Tarhan (SMMiL-E, LIMMS/CNRS-IIS, Lille).