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Quantitative Cardiovascular Systems Pharmacology: exploiting mathematical models to generate novel insight

Eric Sobie ( Department of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai )

I will discuss recent efforts in my lab to gain insight into both therapeutic and detrimental effects of drugs in the heart. We obtain these new insights through Systems Pharmacology, an emerging discipline that combines simulations with mechanistic mathematical models and statistical analyses of large data sets. I will discuss how we have used these approaches to understand differences between individuals in the response to drugs that cause arrhythmias, to develop novel methods to distinguish between safe drugs and harmful drugs, and how we experimentally test mathematical modeling predictions to understand variability between samples. 

Speaker bio

Eric Sobie is Associate Professor in the Department of Pharmacology and Systems Therapeutics at Icahn School of Medicine at Mount Sinai. He received undergraduate and PhD degrees in Biomedical Engineering from Duke University and Johns Hopkins University, respectively, and he completed his postdoctoral training at the University of Maryland. In addition to running a research laboratory, he also directs a PhD program in Biophysics and Systems Pharmacology. His research focuses on uncovering mechanisms underlying cardiac dysfunction and arrhythmias by combining physiological experiments with mathematical modeling.

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