Symposium — Sunday, April 23, 2017 — 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.