Section: Application Domains

Oncology

Participants : Marc Lavielle, Célia Barthelemy.

Despite great advances in the treatment and diagnosis of cancer, many steps remain to further improve prognoses and quality of life of cancer patients. Numerical models can be used to help adapt treatment protocol to the characteristics of each patient, ie, improve treatment efficacy by:

• choosing the best treatment

• choosing the best dose

• choosing the best drug-delivery protocol

• optimizing the above parameters to minimize toxicity

POPIX is part of the Inria pluridiciplinary project MONICA (MOdèles Numériques et Imagerie pour le CAncer), including the NUMED, MC2 and ASCLEPIOS Inria teams, that aims to optimize the parameters listed above using numerical modeling.

Collaborations with NUMED and MC2 are already underway, in particular with the aim of extending the statistical methods developed by POPIX to partial differential equations based models. NUMED works on models of tumor growth and has already implemented an extension of MONOLIX to KPP-type reaction-diffusion models.