Minisymposium Presentation

The use of virtual human twins, powered by supercomputer-based multi-physics simulations, enables efficient and safe exploration of complex biomedical phenomena. These digital replicas integrate high-fidelity physics-based models to capture the complex interactions governing human physiology, offering new possibilities for understanding diseases and personalizing treatments. In this talk, we present our framework for high-fidelity cardiac modeling, which integrates electrophysiology, mechanics, and blood flow dynamics across multiple scales. Using the high-performance finite element solver Alya, developed at the Barcelona Supercomputing Center jointly with ELEM Biotech, we demonstrate how these comprehensive models can be personalized with patient data to create virtual human populations. Our methodology enables a detailed investigation of cardiac function in both healthy and pathological conditions, providing a powerful platform for diverse clinical applications, from evaluating the cardiac safety of drugs to analyzing how specific diseases influence the heart’s electromechanical behavior.