CFC2023

MS2-05 - Mathematical and Computational Modelling of the Cardiovascular System

B. Fanni ( BioCardioLab Fondazione Toscana) *, S. Celi ( BioCardioLab Fondazione Toscana) , D. Schiavazzi (Department of Applied and Computational Mathematics and Statistics, University of Notre Dame)

Cardiovascular disease is the main cause of death worldwide. In recent years, computational models are increasingly used to simulate hemodynamics in patient-specific cardiovascular anatomies and represent a powerful tool to complement the clinical assessment of many relevant indicators in both health and disease. In this context, many tools for cardiovascular fluid dynamics, fluid-structure interaction and uncertainty quantification have been developed to realistically simulate both high-fidelity, patient-specific and low-fidelity, patient-agnostic anatomies and physiologic boundary conditions, complementing clinical analysis for problems ranging from diagnosis to treatment and follow-up. The main motivation of this minisymposium is to discuss recent research in the mathematics and numerics of cardiovascular modeling. We welcome a wide range of contributions including mathematical modelling, data-driven approaches, splitting strategies for coupled problems, solver efficiency, mesh generation and management for immersed methods, uncertainty quantification, and others. We also target a variety of applications ranging from cardiac function to valve pathologies and vascular diseases. Methods specifically developed to address clinical questions are of particular interest.