Key result
Multiscale computational modeling of ventricular arrhythmias enables mechanistic inquiry into disease dynamics, drug-induced proarrhythmia, and personalized diagnosis and treatment planning.
Computational modeling of ventricular arrhythmias is advancing from mechanistic inquiry to personalized clinical applications for diagnosis and treatment planning.
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May inform personalized ventricular arrhythmia management; leaves open prospective clinical validation.
Trayanova et al. (2013) conducted a review in Ventricular arrhythmias. Computational modeling and cardiac simulations was evaluated. Multiscale computational modeling of ventricular arrhythmias enables mechanistic inquiry into disease dynamics, drug-induced proarrhythmia, and personalized diagnosis and treatment planning.
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