Guidelines for Mechanistic Modeling and Analysis in Cardiovascular Research

In our latest episode, Dr. Jeff Saucerman (University of Virginia) interviews authors Dr. Naomi Chesler (University of California, Irvine) and Dr. Mitchel Colebank (University of South Carolina) about their new Guidelines in Cardiovascular Research article on incorporating mechanistic modeling into the analysis of experimental and clinical data to identify possible mechanisms of (ab)normal cardiovascular physiology. The authors’ goal is to provide a consensus document that identifies best practices for in silico computational modeling in cardiovascular research. These guidelines provide the necessary methods for mechanistic model development, model analysis, and formal model calibration using fundamentals from statistics. Colebank et al. outline rigorous practices for computational, mechanistic modeling in cardiovascular research and discuss its synergistic value to experimental and clinical data. Would you like to understand how to apply a cone of uncertainty to your experimental data? Listen now to find out more.   Mitchel J. Colebank, Pim A. Oomen, Colleen M. Witzenburg, Anna Grosberg, Daniel A. Beard, Dirk Husmeier, Mette S. Olufsen, and Naomi C. Chesler Guidelines for mechanistic modeling and analysis in cardiovascular research Am J Physiol Heart Circ Physiol, published August 6, 2024. DOI: 10.1152/ajpheart.00253.2024