Organizers:
Mitchel J. Colebank (University of South Carolina), Vijay Rajagopal, The University of Melbourne, Australia
Description:
Cardiovascular models are now recognized as a potential frontier in the development of personalized models and digital twins. This new excitement in the field is fueling new strides in mathematical and computational approaches to describe cardiovascular function across different temporal and/or spatial scales. In addition, new multisystem models accounting for how the heart and vasculature interact with other organ systems are being developed in combination with tools located at the heart of data science. Thus, this minisymposium will focus on the development of cardiovascular models that mimic cardiovascular function across spatial or temporal scale, new models that couple the cardiovascular system with other physiological systems, and new innovations in data-driven solutions to modeling cardiovascular phenomena. Potential topics include: - Multiscale models of cardiac and vascular function; - Computational approaches to cell-tissue-organ level function; - Mathematical coupling of cardiac and vascular mechanics; - Modeling autonomic control and neurovascular function; - Simulating tissue growth and remodeling; - Multisystems models of cardiovascular-organ interactions; and - Physics-informed data science approaches to cardiovascular science
Ishraq U Ahmed
University of Sydney"Free cholesterol toxicity and impaired cell recycling in a lipid-structured model of atherosclerosis"
Pak-Wing Fok
University of Delaware"Impact of Medial Calcification on Arterial Mechanics and Hemodynamics"
Laura Ellwein Fix
Virginia Commonwealth University"A closed-loop system-level model of cerebrovascular reactivity"
Liam Murray
The University of Melbourne"Myofibril networks produce shear stress in sheep cardiomyocytes"
