Objective 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. Fields of science 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 Topic(s) MSCA-IF-2016 - Individual Fellowships Call for proposal H2020-MSCA-IF-2016 See other projects for this call Funding Scheme MSCA-IF-GF - Global Fellowships Coordinator MEDIZINISCHE UNIVERSITAT GRAZ Net EU contribution € 218 176,20 Address NEUE STIFTINGTALSTRASSE 6 8010 Graz Austria See on map Region Südösterreich Steiermark Graz Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 218 176,20 Partners (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all Partner Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement. THE REGENTS OF THE UNIVERSITY OF CALIFORNIA United States Net EU contribution € 0,00 Address FRANKLIN STREET 1111 12 FLOOR 94607 OAKLAND CA See on map Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 129 097,80