Uncertainty quantification in cardiac and cardiovascular modelling and simulation

This Special Theme issue of the Philosophical Transactions of the Royal Society has just been published compiled and edited by Gary R. Mirams, Steven A. Niederer and Richard H. Clayton

Mathematical and computational models of the heart and cardiovascular system are beginning to be used by doctors to guide treatment for particular patients, and by pharmaceutical companies to study potential side effects of new drugs on the heart. For these applications a single ‘best guess’ simulation prediction is of limited usefulness without an estimate of confidence in it. Identifying and accounting for uncertainty and variability which might affect a model’s predictions allows us to describe a spread of possibilities with appropriate weights - a probability distribution. 

This issue is dedicated to pioneering and developing these ‘Uncertainty Quantification’ techniques in the field of heart and cardiovascular system modelling, with examples at the sub-cellular, cellular, tissue and organ scales.

You can access content online at: https://royalsocietypublishing.org/toc/rsta/2020/378/2173


Date: 16/06/2020 | Tag: | News: 1098 of 1130
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