Article

AI-driven biological clocks of cardiac aging: Should we integrate ECG, metabolomic, and epigenetic signatures?

2026-07-23

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> Cardiovascular diseases remain the leading cause of death globally, with age as the primary risk factor. Unlike chronological age, biological age aims to capture age-related physiological changes and may better predict health outcomes and disease risk. Recent advances in artificial intelligence have enabled the development of aging clocks, computational models...

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Literature Corpus work: e08a4ec2-4d28-5275-812d-3d53dc1ae97e
DOI: 10.21203/rs.3.rs-10155822/v1

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