Évènements

In the majority of solid cancers, secondary tumors (metastases) and associated complications are the main cause of death. In order to define the optimal therapeutic strategy for a given patient, one of the major current challenges is to estimate, at diagnosis, the burden of invisible metastases and how they will respond to treatments. In this talk, I will present research efforts towards the establishment of a predictive computational tool of metastatic development, with a particular emphasis on the assessment of mathematical models to empirical data (both experimental and clinical). I will first present the model’s framework, which is based on a physiologically-structured partial differential equation for the time dynamics of a population of metastases, combined to a nonlinear mixed-effects model for statistical representation of the distribution of the parameters in the population. Then, I will show results about the descriptive power of the model on data from clinically relevant ortho-surgical animal models of metastasis (breast and kidney tumors), with recent findings about differential effect of therapies between primary and secondary tumors. The talk will further be devoted to the translation of this modeling approach toward the clinical reality. Using clinical imaging data of brain metastasis from non-small cell lung cancer, several biological processes will be investigated to establish a minimal and biologically realistic model able to describe the data. Integration of this model into a biostatistical approach for individualized prediction of the model’s parameters from data only available at diagnosis will also be discussed. Together, these results represent a step forward towards the integration of mathematical modeling as a predictive tool for personalized medicine in oncology.

Je commencerai par un survol de la théorie de la fonction zêta de Riemann et de son importance en théorie des nombres. Je présenterai ensuite une sélection des avancées majeures concernant les zéros et l’ordre de grandeur de la fonction zêta. Je terminerai par des résultats récents concernant la répartition de ses valeurs dans la bande critique, obtenus en partie en collaboration avec Steve Lester et Maksym Radziwill.

The category of weakly complete vector spaces is dual to the category of abstract vector spaces. This fact which is itself easy to verify allows to transfer problems from topological algebra to abstract algebra and vice versa. In this talk, I will explain how to use this duality to analyze unit groups of weakly complete algebras and how to construct the coresponding left adjoint functor, which assigns to each topological group in a natural way a weakly complete algebra, generalizing the group algebra for finite groups. This project is joint work with K. H. Hofmann and S. Morris.