Key result
T-World computational ventricular cardiomyocyte model successfully replicates arrhythmia mechanisms and demonstrates strong predictivity.
Why the study?
Cardiovascular disease remains the leading cause of death, requiring new tools to improve mechanistic understanding and overcome the limitations of stem cell and animal-based research.
Answers are grounded in this paper and cite their sources.
T-World provides a highly general, validated computational model of a human ventricular myocyte capable of predicting arrhythmia risks and drug efficacy.
Cardiovascular disease is the leading cause of death, demanding new tools to improve mechanistic understanding and overcome limitations of stem cell and animal-based research. We introduce T-World, a highly general virtual model of human ventricular cardiomyocyte suitable for multiscale studies. T-World shows comprehensive agreement with human physiology, from electrical activation to contraction, and is the first to replicate all key cellular mechanisms driving life-threatening arrhythmias. Extensively validated on unseen data, it demonstrates strong predictivity across applications and scales. Using T-World we revealed a likely sex-specific arrhythmia risk in females related to restitution properties, identified arrhythmia drivers in type 2 diabetes, and describe unexpected pro-arrhythmic role of NaV1.8 in heart failure. T-World demonstrates strong performance in predicting drug-induced arrhythmia risk and opens new opportunities for predicting and explaining drug efficacy, demonstrated by unpicking effects of mexiletine in Long QT syndrome 2. T-World is available as open-source code and an online app.
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Tomek et al. (2025) studied Cardiovascular disease / Arrhythmia. T-World computational model was evaluated. The T-World computational model of a human ventricular cardiomyocyte successfully replicated key cellular mechanisms driving arrhythmias and demonstrated strong predictivity across applications.
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