Using Data Science to Advance the Impact of Vascular Digital Twins in Medicine

Explore a seminar on using data science to enhance vascular digital twins in medicine, presented by Duke University assistant professor Amanda Randles. Delve into the challenges and opportunities of creating patient-specific simulations that incorporate hemodynamic forces, complex blood vessel geometry, and red blood cell behavior. Learn how high-resolution digital twins of patients' vascular anatomy are being developed to inform treatment of various human diseases. Discover the intersection of physics-based modeling and data science approaches in addressing personalized medicine questions. Gain insights into the data challenges faced and key areas where data science can advance this work. Understand the potential impact of these models on disease progression understanding, surgical planning, and drug delivery system design.