PhD opening: Multi-scale modeling of muscle contraction - From stochastic dynamics of molecular motors to continuum mechanics, in interaction with experimental assays Context Striated muscles (i.e. skeletal and cardiac muscles) are made of a multi-scale active biological material, capable of transforming metabolic energy into mechanical work. This thermodynamic conversion is Continue Reading(Closed) PhD position on multi-scale modeling of muscle contraction
The Department of Mechanics of Ecole polytechnique invites applications for a faculty position at the Assistant Professor level in the area of computational biomechanics. The position is opened in the framework of a prospective joint team between Ecole Polytechnique and Inria-M3DISIM. For more details and for submitting applications, see the Continue Reading(Closed) Assistant Professor position at École Polytechnique in relation to M3DISIM
Context: In scientific computing, data assimilation methods allow to combine various sources of information: information embedded in a physical-numerical model on the one hand; information contained in measurements on the other hand. These methods are widely used in geophysics (in particular in weather forecasting), and their potential is huge in Continue Reading(Closed) Software Engineer Position on applications of Verdandi data assimilation library in personalized cardiac modeling
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The team is part of the newly accepted European project VP2HF (long title "Computer model derived indices for optimal patient-specific treatment selection and planning in Heart Failure"), a STREP project under the 7th Framework Program (ICT Call 10). The abstract of the proposal is given below. This project brings together 9 Continue ReadingNew European project VP2HF
For more details and news, our latest annual activity report is available online.
MΞDISIM (also possibly spelled M3DISIM and pronounced like "medicine" with a final "m") is an Inria project-team, joint with Ecole Polytechnique, part of LMS (Laboratoire de Mécanique des Solides, UMR-7649 Ecole Polytechnique - Mines ParisTech - CNRS/INSIS), and affiliated with the Inria Saclay Ile-de-France Research Center on the Ecole 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.