Martino Scarpolini, "Numerical and Data-Driven Models of the Cardiovascular System: Exploring Possibilities and Challenges"

Thursday 30 Jan 2025, 14:30 → 15:30 Europe/Rome

Ex-ISEF/Building-Main Lecture Hall (GSSI)

Abstract:

Advances in numerical modeling, data-driven approaches and medical imaging are transforming our understanding of the cardiovascular system, offering novel ways to investigate complex pathologies and optimize patient care. This lecture will provide an overview of the cardiovascular system, highlighting key challenges in developing numerical models and their integration with patient-specific data. We will explore applications such as quantifying cardiac turbulence and conducting in-silico clinical trials for bio-prosthetic valve deployment strategies. The discussion will also emphasize patient-specific modeling, from statistical shape modeling of the aorta to dynamic, data-driven approaches powered by medical imaging. This lecture will explore how mathematical modeling, fluid dynamics, and advanced medical imaging combine to drive personalized cardiovascular medicine, highlighting both the potential of computational tools and the multi-disciplinary skills required in this field.