Key result
Predictive computational modeling of the heart integrates ion channel to electromechanical interactions, offering insights into arrhythmogenesis, defibrillation, and infarct scar re-entrant circuits.
Predictive computational modelling of the heart holds high promise for interpreting clinical measurements, understanding disease mechanisms like arrhythmias, and optimizing medical devices.
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May inform arrhythmia research via in silico models; leaves open prospective clinical validation.
Vigmond et al. (2009) conducted a review in Cardiac electrical dysfunction (arrhythmias, myocardial ischaemia, heart failure). Predictive computational modelling of the heart was evaluated. Predictive computational modeling of the heart integrates ion channel to electromechanical interactions, offering insights into arrhythmogenesis, defibrillation, and infarct scar re-entrant circuits.
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