ArticleProgress in biophysics and molecular biology2016
Variability in cardiac electrophysiology: Using experimentally-calibrated populations of models to move beyond the single virtual physiological human paradigm.
Article in Progress in biophysics and molecular biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers.
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Who cites it
106 citing papers in PubMed.
- A Computational Model of Oxidative Stress in a Human Ventricular Myocyte.bioRxiv : the preprint server for biology · 2026Article
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- Insights from electromechanical simulations to assess omecamtiv mecarbil efficacy in heart failure.The Journal of physiology · 2026Article
- A titin truncating variant linked to atrial fibrillation increases atrial profibrotic signalling and cholinergic sensitivity.Cardiovascular research · 2026Article
- Can in silico models predict drug-induced cardiac risk in vulnerable populations?Toxicology reports · 2026Article
- Role of natural inter-individual variability in the different penetrance of congenital long QT syndromes (LQTS) types 1 and 2: an in silico approach.Scientific reports · 2026Article
- Population Modeling Approach for Human Cardiac Arrhythmia Risk Prediction.Circulation. Arrhythmia and electrophysiology · 2026Article
- Interplay between variability in intrinsic cellular properties and heart failure-associated remodeling in a simulated population with human heart failure.Journal of molecular and cellular cardiology · 2026Article
- 25 years of applying the 3Rs principles in safety pharmacology: success stories and future perspectives.Frontiers in physiology · 2026Review
- Toward Standardized Methodologies for Drug-Induced Proarrhythmia Classification: An In Silico Proof of Concept.Computational and structural biotechnology journal · 2026Article
- Large-scale synthetic data enable digital twins of human excitable cells.bioRxiv : the preprint server for biology · 2025Article
- Development and validation of a computational tool to predict treatment outcomes in cells from high-grade serous ovarian cancer patients.Bioengineering & translational medicine · 2025Article
- Digital twin for sex-specific identification of class III antiarrhythmic drugs based on in vitro measurements, computer models, and machine learning tools.PLoS computational biology · 2025Article
- Early Atrial Remodeling Drives Arrhythmia in Fabry Disease.Circulation. Arrhythmia and electrophysiology · 2025Article
- A large population of cell-specific action potential models replicating fluorescence recordings of voltage in rabbit ventricular myocytes.Royal Society open science · 2025Article
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- Fast and accurate prediction of drug induced proarrhythmic risk with sex specific cardiac emulators.NPJ digital medicine · 2024Article
- Advances in induced pluripotent stem cell-derived cardiac myocytes: technological breakthroughs, key discoveries and new applications.The Journal of physiology · 2024Review
- Cell-to-cell heterogeneity in ion channel conductance impacts substrate vulnerability to arrhythmia.American journal of physiology. Heart and circulatory physiology · 2024Article
46 more citing papers are in PubMed but not listed here.
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11 authors.
Funding
Abstract
Physiological variability manifests itself via differences in physiological function between individuals of the same species, and has crucial implications in disease progression and treatment. Despite its importance, physiological variability has traditionally been ignored in experimental and computational investigations due to averaging over samples from multiple individuals. Recently, modelling frameworks have been devised for studying mechanisms underlying physiological variability in cardiac electrophysiology and pro-arrhythmic risk under a variety of conditions and for several animal species as well as human. One such methodology exploits populations of cardiac cell models constrained with experimental data, or experimentally-calibrated populations of models. In this review, we outline the considerations behind constructing an experimentally-calibrated population of models and review the studies that have employed this approach to investigate variability in cardiac electrophysiology in physiological and pathological conditions, as well as under drug action. We also describe the methodology and compare it with alternative approaches for studying variability in cardiac electrophysiology, including cell-specific modelling approaches, sensitivity-analysis based methods, and populations-of-models frameworks that do not consider the experimental calibration step. We conclude with an outlook for the future, predicting the potential of new methodologies for patient-specific modelling extending beyond the single virtual physiological human paradigm.
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