Key result
Modified genetic algorithm accurately derives personalized cardiomyocyte electrophysiology parameters from action potentials.
Population
Optical mapping recordings and mRNA expression profiles of donor hearts
Design
Computational modeling and validation study
Authors
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May advance personalized cardiomyocyte modeling in research; leaves open clinical translation without human validation.
A novel genetic algorithm combined with mRNA expression profiling enables personalized modeling of human cardiac action potentials, providing a technique to map gene expression to cardiac function.
Smirnov et al. (2020) studied Human cardiac action potential modeling (n=14). Modified genetic algorithm (GA) with Cauchy mutation and elitism strategy vs. Original genetic algorithm was evaluated on Algorithm error for high amplitude ionic currents. A modified genetic algorithm using Cauchy mutation and an elitism strategy accurately determined personalized parameters of human cardiomyocyte electrophysiology models from action potential recordings.
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