Computational Modeling of Cardiac Electrical Response

心律失常，如室颤，是美国发病率和死亡率的主要原因。在这个IGMS项目中，Pi Greg Buzzard将花费一年的时间与基因网络科学和康奈尔大学的科学家合作，开发心脏细胞和心脏组织的计算模型。他将与这些科学家合作，利用康奈尔大学收集的实验数据来实现和改进单个心脏细胞的模型，耦合单个细胞的模型以建立心脏组织的模型，使用这个心脏组织模型来研究室颤的机制，并探索可能的新方法来对这些模型进行数值模拟。此外，Buzzard将发展一套强大的生物建模技能，使他能够在资助期后继续这种合作，并参与其他跨学科项目。这个IGMS项目由MPS多学科活动办公室(OMA)和数学科学部(DMS)联合支持。

Cardiac arrhythmias such as ventricular fibrillation are a major cause of morbidity and mortality in the United States. In this IGMS project, PI Greg Buzzard will spend a year working with scientists at Gene Network Sciences and Cornell University to develop computational models of heart cells and heart tissue. He will work in conjunction with these scientists to implement and refine a model of a single heart cell using experimental data collected at Cornell University, to couple models of single cells in order to model heart tissue, to use this model of heart tissue to study the mechanisms underlying ventricular fibrillation, and to explore possible new approaches to the numerical simulation of these models. Moreover, Buzzard will develop a strong set of skills in biological modeling that will enable him to continue this collaboration beyond the period of the grant and to take part in other interdisciplinary projects.This IGMS project is jointly supported by the MPS Office of Multidisciplinary Activities (OMA) and the Division of Mathematical Sciences (DMS).