MΞDISIM organizes VPH2020
MΞDISIM organizes VPH2020 : MΞDISIM members are part of the organizing committee of the next VPH2020 Conference (26-28 August 2020, Paris, France). SAVE THE DATE and SUBMIT AN ABSTRACT (https://vph2020.sciencesconf.org)
Federica Caforio PhD Award
Federica Caforio PhD Award : Federica Caforio, former PhD student in the team, received a PhD award - IJNMBE Best Doctoral Prize in Biomedical Engineering - at CMBE19 Conference - Computational and Mathematical Biomedical Engineering - Conference, Sendai, Japan
Martin Genet just received the Young Investigator Award from the Francophone Society of Biomechanics
Martin Genet just received the Young Investigator Award from the Francophone Society of Biomechanics : During the 8th World Congress of Biomechanics in Dublin, Martin Genet received the Young Investigator Award from the Francophone Society of Biomechanics for his talk on "A continuum relaxed growth framework for controlling growth-induced residual stresses in living tissues".
M3DISIM on inriality.fr
M3DISIM on inriality.fr : Predict the heart weather, what does that mean? A film where Philippe Moireau and Dominique Chapelle explain how, by creating a model of your heart in a computer, they can diagnose various diseases, predict their evolution, and optimize potential treatments.

MΞDISIM

MΞDISIM (also possibly spelled M3DISIM and pronounced like "medicine" with a final "m") is an Inria project-team, joint with École Polytechnique, part of LMS (Laboratoire de Mécanique des Solides, École Polytechnique — UMR7649 CNRS/INSIS — Institut Polytechnique de Paris), and affiliated with the Inria Saclay Île-de-France Research Center on the École Polytechnique campus.

Our team aims at proposing novel mathematical and numerical methods and tools in the realm of the biomechanical modeling of tissues and organs, with a non-exclusive focus on the cardiovascular system. Our intended contributions thus comprise: (1) modeling components per se, individually and within coupling relations; (2) inverse problem methodologies, in order to benefit from the various available data to compensate for the many uncertainties inherent to such natural systems; (3) numerical procedures specifically formulated – and analysed – to be effective for the types of direct and inverse problems considered; and (4) experimental studies and clinical applications, carried out both within the team and through various collaborations, in relation to the above modeling objectives. This is by construction a multidisciplinary enterprise, at the crossroads of applied mathematics, mechanics, bioengineering, and medical applications.

Our work on cardiac modelling, in particular, exemplifies our approach. We have formulated a multi-scale 3D model of the cardiac mechanical contraction responding to electrical activation. By integrating this formulation with specially-designed numerical methods, we are able to represent the whole organ behavior in interaction with the blood during heart beats. This achievement required a deep understanding of the underlying physics and physiology on the one hand, and expertise for proposing well-posed mathematical formulations and adequate numerical discretizations, on the other hand. Furthermore, the need for validating and calibrating models, and for designing patient-specific models for prediction purposes in clinical applications, has motivated some further fundamental research on estimation and data assimilation. We have thus proposed and analysed some original estimation methods well-adapted to the types of models and data (e.g. medical imaging) at hand.

For more details and news, our latest annual activity report is available online.