Obiettivo 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. Campo scientifico natural sciencesbiological sciencesbiophysicsnatural sciencesphysical sciencesclassical mechanicsfluid mechanicsfluid dynamicscomputational fluid dynamicsnatural sciencescomputer and information sciencescomputational sciencemultiphysicsnatural sciencescomputer and information sciencessoftwaresoftware applicationssimulation softwarenatural sciencesmathematicsapplied mathematicsmathematical model Programma(i) 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 Argomento(i) MSCA-IF-2016 - Individual Fellowships Invito a presentare proposte H2020-MSCA-IF-2016 Vedi altri progetti per questo bando Meccanismo di finanziamento MSCA-IF-GF - Global Fellowships Coordinatore MEDIZINISCHE UNIVERSITAT GRAZ Contribution nette de l'UE € 218 176,20 Indirizzo NEUE STIFTINGTALSTRASSE 6 8010 Graz Austria Mostra sulla mappa Regione Südösterreich Steiermark Graz Tipo di attività Higher or Secondary Education Establishments Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 218 176,20 Partner (1) Classifica in ordine alfabetico Classifica per Contributo netto dell'UE Espandi tutto Riduci tutto Partner Le organizzazioni partner contribuiscono all’attuazione dell’azione, ma non sottoscrivono l’accordo di sovvenzione. THE REGENTS OF THE UNIVERSITY OF CALIFORNIA Stati Uniti Contribution nette de l'UE € 0,00 Indirizzo FRANKLIN STREET 1111 12 FLOOR 94607 OAKLAND CA Mostra sulla mappa Tipo di attività Higher or Secondary Education Establishments Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 129 097,80