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Thesis
Home   /   Thesis   /   Mathematical modeling of inflammation based on experimental data and knowledge

Mathematical modeling of inflammation based on experimental data and knowledge

Immunology Life Sciences

Abstract

The goal is to mathematically model physiological (vaccines) and pathological (autoimmune diseases) inflammations by combining experimental data and pre-established knowledge, to better understand the mechanisms and identify targets to improve vaccines and treatments, and to develop the necessary method and tools.

This a collaborative project between IDMIT (immunology and vaccinology) and Dassault Systèmes (modelisation and prediction).

Laboratory

Institut de biologie François JACOB
Immunologie des maladies virales et auto-immunes-Infectious Disease Models and Innovative Therapies
Laboratoire immunité et transmission
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