ReviewPhysiological reviews2024
Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation.
Review in Physiological reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
65 citing papers in PubMed, 87 citations in OpenAlex.
- Determining properties of human-induced pluripotent stem cell-derived cardiomyocytes using spatially resolved electromechanical metrics.The Journal of physiology · 2026Article
- In silico modelling of multi-electrode arrays for enhancing cardiac drug testing on hiPSC-CM heterogeneous tissues.The Journal of physiology · 2026Article
- Hierarchy Aware CT-Driven Constrained Constructive Optimization: A Framework for Coronary Network Generation.Annals of biomedical engineering · 2026Article
- Arrhythmic Mitral Valve Prolapse as a Regional Stretch-Induced Cardiomyopathy with Fibro-Inflammatory Signature: A Conceptual Review.Journal of cardiovascular development and disease · 2026Review
- The functional impact of myofiber macroscopic organization and disarray in computational models of the murine heart.PLoS computational biology · 2026Article
- Prediction of arrhythmogenesis in non-ischemic cardiac resynchronization therapy patients.APL bioengineering · 2026Article
- The Hodgkin-Huxley-Katz Prize Lecture: Heart digital twins: A new paradigm in arrhythmia medicine.The Journal of physiology · 2026Article
- Analysis of the Effect of Anatomical Variability on Atrial Fibrillation Dynamics Through a Novel Framework for Personalised Atrial Model Generation.Annals of biomedical engineering · 2026Article
- In silico predictions of action potential propagation in doxorubicin cardiotoxicity: A parametric study using preclinical 3D magnetic resonance imaging-based fibrotic left ventricle models.The Journal of physiology · 2026Article
- Mathematical model of the zebrafish ventricular cardiomyocyte action potential and calcium transient.The Journal of physiology · 2026Article
- Computational modelling of the pro- and antiarrhythmic effects of atrial high rate-dependent trafficking of small-conductance calcium-activated potassium channels.The Journal of physiology · 2026Article
- Atrial fibrosis in atrial fibrillation: Mechanisms, mapping techniques and clinical applications.The Journal of physiology · 2026Review
- The clinical pathophysiology of atrial fibrillation: outstanding questions from bedside to bench and back.Physiological reviews · 2026Review
- A data-driven computational methodology for assessing ventricular ablation procedures.Biomechanics and modeling in mechanobiology · 2026Article
- Sex-specific virtual population for the prediction and assessment of arrhythmia risk.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026Article
- Prioritizing Discovery and Advancements in Arrhythmia Therapies: NIH/NHLBI Workshop.JACC. Clinical electrophysiology · 2026Review
- ECMSim: A high-performance interactive web application for real-time spatiotemporal simulation of cardiac ECM signaling and diffusion.Matrix biology plus · 2026Article
- Towards mechanisms-driven strategy for persistent atrial fibrillation ablation: Leveraging digital twins.Journal of precision medicine (Amsterdam, Netherlands) · 2026Article
- T-World Virtual Human Cardiomyocyte. II. Organ-Scale Simulations and Applications.Circulation research · 2026Article
- T-World Virtual Human Cardiomyocyte. I. Development, Validation, and Cell Arrhythmogenesis.Circulation research · 2026Article
5 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
The complexity of cardiac electrophysiology, involving dynamic changes in numerous components across multiple spatial (from ion channel to organ) and temporal (from milliseconds to days) scales, makes an intuitive or empirical analysis of cardiac arrhythmogenesis challenging. Multiscale mechanistic computational models of cardiac electrophysiology provide precise control over individual parameters, and their reproducibility enables a thorough assessment of arrhythmia mechanisms. This review provides a comprehensive analysis of models of cardiac electrophysiology and arrhythmias, from the single cell to the organ level, and how they can be leveraged to better understand rhythm disorders in cardiac disease and to improve heart patient care. Key issues related to model development based on experimental data are discussed, and major families of human cardiomyocyte models and their applications are highlighted. An overview of organ-level computational modeling of cardiac electrophysiology and its clinical applications in personalized arrhythmia risk assessment and patient-specific therapy of atrial and ventricular arrhythmias is provided. The advancements presented here highlight how patient-specific computational models of the heart reconstructed from patient data have achieved success in predicting risk of sudden cardiac death and guiding optimal treatments of heart rhythm disorders. Finally, an outlook toward potential future advances, including the combination of mechanistic modeling and machine learning/artificial intelligence, is provided. As the field of cardiology is embarking on a journey toward precision medicine, personalized modeling of the heart is expected to become a key technology to guide pharmaceutical therapy, deployment of devices, and surgical interventions.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.