In this talk, Johann Guilleminot discusses the construction, identification, and simulation of mathematically consistent stochastic models for computational personalized medicine. The aim is to develop admissible representations and numerical methods capturing inter- and intra-patient variations in physical parameters, to endow diagnosis and medical procedures with a certain level of confidence.