Modeling in neurology
Computational modeling of stroke and tools for therapeutic innovation in neurology
NuMed: Numerics for medicines
We aim at developping innovative numerical tools and mathematical models, with applications to biomedical data analysis.
Our expertise holds in the right balance we find between model complexity and available data information.
Picture: Computer simulation of oxygen flow in a malignant tumor tissue through the process of angiogenesis. Credit: B. Ribba.
Applications
Modeling in oncology
Innovative tumor growth inhibition models for the analysis of preclinical and clinical data in oncology
Methodology
Data-driven approach
Regression and mixed-effect modeling approaches for the analysis of sparse biomedical datasets
Multiscale methods
Linking several models at different time and space scales. Multiscale methods stand for complementary approaches to data-driven models