Methods-driven research focusing on the development of in silico models of total heart function is a key activity within the CCL. Beyond addressing the challenges posed by modeling individual physics - electrophysiology, mechanics and hemodynamics - in isolation which are largely due to multiscale aspects of cardiac function, an important focus are issue arising when coupling these in a multiphysics context as the spatio-temporal characteristics of the individual physics are markedly different. Moreover, research on efficient and robust workflows for building geometrically accurate anatomical models from tomographically reconstructed images and their personalization - the identification of parameters to minimize differences between clinical observation and in silico models - is of pivotal importance for leveraging modeling and simulation in both as an industrially applied medical device development tool (MDDT) to design and optimization enhanced cardiac devices as well as using software as a medical device (SaMD) for diagnostic and therapeutic applications in the clinic.