1. A method for computing advanced cardiac measurements from clinical data and medical images and performing therapy planning based on a patient-specific multi-physics heart model, the method comprising: generating a patient-specific anatomical model of left and right ventricles from medical image data of a patient; generating a patient-specific computational heart model, which couples a biomechanical model, an electrophysiology model and a hemodynamic model together, based on the patient-specific anatomical model of the left and right ventricles and patient-specific clinical data by: determining initial patient-specific parameters of an electrophysiology model, determining initial patient-specific parameters of a biomechanics model, determining initial patient-specific computational fluid dynamics (CFD) boundary conditions, performing a coupled fluid-structure interaction (FSI) simulation using the initial patient-specific parameters of the electrophysiology model, the initial patient-specific parameters of the biomechanics model, and the initial patient-specific CFD boundary conditions, and refining the initial patient-specific parameters of the electrophysiology model, the initial patient-specific parameters of the biomechanics model, and the initial patient-specific CFD boundary conditions based on the coupled FSI simulation, wherein the refined parameters define a set of advanced cardiac measurements; and simulating at least one cardiac therapy using the patient-specific computational heart model.