Mathematical Modeling of Cardiac Excitability and Arrhythmias

Symposium — Sunday, April 23, 2024 — 8:00 AM - 10:00 AM — , Room W192B
Cardiovascular Section — Chair: Thomas Hund — Co-Chair: Crystal Ripplinger

Mathematical models are invaluable tools for understanding the relationships between components of a complex system. In the biological context, mathematical models help us understand the complex web of interrelations between various components (DNA, proteins, enzymes, signaling molecules etc.) in a biological system, gain better understanding of the system as a whole, and in turn predict its behavior in an altered state (e.g. disease).  Mathematical modeling has enhanced our understanding of multiple complex biological processes like enzyme kinetics, metabolic networks, signal transduction pathways, gene regulatory networks, and electrophysiology. With recent advances in high throughput data generation methods, computational techniques and mathematical modeling have become even more central to the study of biological systems.  This symposium will address cutting edge applications of modeling in biological systems with an emphasis on the interdisciplinary study of cardiac excitability and arrhythmias across temporal and spatial scales.  Topics are selected to promote discussion about the most pressing opportunities and challenges for mathematical modeling.  

Speakers

• Mathematical modeling of ion channel  structure/function
  Jon Silva — Department of Biomedical Engineering, Washington University St. Louis


• Dynamic mathematical models of signaling networks
  Tamara Kinzer-Ursem — Weldon School of Biomedical Engineering, Purdue University


• Mathematical modeling in drug design and development
  Colleen Clancy — Department of Pharmacology, University of California-Davis


• Population-based mathematical modeling
  Eric Sobie — Pharmacology and Systems Therapeutics, Mount Sinai Hospital