Objectif Advances in medical imaging have enabled unprecedented ability to imagecardiac anatomy and function. So far these technologies have had relativelymodest clinical impact as the analysis of such rich multi-modaldatasets has proven challenging.In silico models hold vast potential to better harness such datasetsby enabling their integration into quantitative frameworks that can aidin gaining better mechanistic insight into cardiac function in health and disease,and thus paving the way towards optimal therapeutic strategies.Our objective is to develop the most advanced biophysically detailedin-silico model of total electro-mechano-fluidic function of the heart.This model will be parametrized, verified and used to study cause-effectrelationships between flow and pressure and their impact upon pumping performance.A novel set of features such as combined models of both heart and attachedoutflow vessels and the computational efficiency will provide a uniqueplatform for translational research.This ambitious endeavor is feasible only by combining the expertiseof the applicant in modeling soft tissue mechanics and his supervisorsin modeling electrophysiology (Gernot Plank, MUG) and blood flow(Shawn Shadden, UC Berkeley).Clinical input and datasets for model parametrization and validationare provided by Titus Kühne (DHZ Berlin) and by clinicalcollaborators of Prof. Shadden at UCSF.During the return-phase, the applicant will use the infrastructureof Prof. Plank’s lab and the large network of academic and industrialcollaborations as an incubator for building up his own research groupin computational hemodynamics. This is ideal in many regards,as the expertise of the applicant's group will be entirely orthogonalto the expertise in Prof. Plank's lab, thus promoting a fast pathwaytowards full indepence, and core expertise necessaryfor further developing and maintaining a highly complex computingenvironment is synergistically shared between the labs. Champ scientifique natural sciencesbiological sciencesbiophysicsnatural sciencesphysical sciencesclassical mechanicsfluid mechanicsfluid dynamicscomputational fluid dynamicsnatural sciencescomputer and information sciencescomputational sciencemultiphysicsnatural sciencescomputer and information sciencessoftwaresoftware applicationssimulation softwarenatural sciencesmathematicsapplied mathematicsmathematical model Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Thème(s) MSCA-IF-2016 - Individual Fellowships Appel à propositions H2020-MSCA-IF-2016 Voir d’autres projets de cet appel Régime de financement MSCA-IF-GF - Global Fellowships Coordinateur MEDIZINISCHE UNIVERSITAT GRAZ Contribution nette de l'UE € 218 176,20 Adresse NEUE STIFTINGTALSTRASSE 6 8010 Graz Autriche Voir sur la carte Région Südösterreich Steiermark Graz Type d’activité Higher or Secondary Education Establishments Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 218 176,20 Partenaires (1) Trier par ordre alphabétique Trier par contribution nette de l'UE Tout développer Tout réduire Partenaire Les organisations partenaires contribuent à la mise en œuvre de l’action, mais ne signent pas la convention de subvention. THE REGENTS OF THE UNIVERSITY OF CALIFORNIA États-Unis Contribution nette de l'UE € 0,00 Adresse FRANKLIN STREET 1111 12 FLOOR 94607 OAKLAND CA Voir sur la carte Type d’activité Higher or Secondary Education Establishments Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 129 097,80