Key result
Population-based and sample-specific computational modeling approaches that account for physiological variability provide improved insights into cardiac arrhythmia mechanisms and variable drug responses.
Population
In silico models of cardiac electrophysiology and arrhythmias
Comparison
Computational modeling frameworks accounting for… vs Traditional parameter/property-averaging…
Design
Review
Authors
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May refine proarrhythmic risk assessment in simulations; leaves open clinical translation pending prospective validation.
Incorporating physiological variability into in silico cardiac electrophysiology models improves the assessment of proarrhythmic risk and understanding of arrhythmia mechanisms.
Ni et al. (2018) conducted a review in Cardiac Arrhythmia. Computational modeling incorporating physiological variability vs. Traditional average-based modeling was evaluated. Population-based and sample-specific computational modeling approaches that account for physiological variability provide improved insights into cardiac arrhythmia mechanisms and variable drug responses.
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