Key result
Computational cardiac modeling provides a unifying framework to optimize existing therapies, develop novel molecular treatments, and improve risk stratification for arrhythmias and pump dysfunction.
Biophysically detailed computational modeling of the heart provides a powerful framework for understanding cardiac electrophysiology and electromechanics, offering new avenues for personalized medicine, drug testing, and device optimization.
May inform personalized arrhythmia care; hypothesis-generating and requires prospective clinical validation.
This article reviews the latest developments in computational cardiology. It focuses on the contribution of cardiac modelling to the development of new therapies as well as the advancement of existing ones for cardiac arrhythmias and pump dysfunction. Reviewed are cardiac modelling efforts aimed at advancing and optimizing existent therapies for cardiac disease (defibrillation, ablation of ventricular tachycardia, and cardiac resynchronization therapy) and at suggesting novel treatments, including novel molecular targets, as well as efforts to use cardiac models in stratification of patients likely to benefit from a given therapy, and the use of models in diagnostic procedures.
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Trayanova et al. (2012) conducted a review in Cardiac arrhythmias and pump dysfunction. Computational cardiac modeling was evaluated. Computational cardiac modeling provides a unifying framework to optimize existing therapies, develop novel molecular treatments, and improve risk stratification for arrhythmias and pump dysfunction.
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