Population Modeling Approach for Human Cardiac Arrhythmia Risk Prediction
The population-based modeling approach outlined here shows promise as a computational platform that can directly take advantage of data from human clinical studies to improve arrhythmia risk prediction, test antiarrhythmic therapies, and assess cardiotoxicity of drugs.
Authors
- M. C. Liu
- James N. Weiss (ORCID: https://orcid.org/0000-0002-8622-6427)
- Xu-Hao Huang (ORCID: https://orcid.org/0000-0002-7840-924X)
- Zhilin Qu
- Fengze Sui
- Wen Gao
- Zhen Song
Institutions
- University of California, Los Angeles (US)
- Peng Cheng Laboratory (CN)
- South China University of Technology (CN)
Publication Details
- Journal
- Circulation Arrhythmia and Electrophysiology
- Published
- 2026-01-28
- DOI
- https://doi.org/10.1161/circep.125.014249
- Primary Topic
- Cardiac electrophysiology and arrhythmias
- Type
- article
- Field-Weighted Citation Impact
- 0.00