An Integrative Review of the Cardiovascular Disease Spectrum: Integrating Multi-Omics and Artificial Intelligence for Precision Cardiology
BACKGROUND/OBJECTIVES: Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality worldwide and increasingly are recognized as a continuum of interconnected conditions rather than isolated entities. METHODS: A structured narrative literature search was performed in PubMed, Scopus, and Google Scholar for publications from 2015 to 2025 using combinations of different keywords: "cardiovascular disease spectrum", "multi-omics", "precision cardiology", "machine learning", and "artificial intel…
Integrating multi-omics with AI-enabled imaging and digital tools improves risk prediction and informs clinical decision-making across interconnected cardiovascular conditions.
Real-world translation requires attention to data quality, equity, interpretability, and implementation in routine care.
Evidence
- Peer-reviewedDiseases2026-01-13
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Truvace Impact Record TRV-2026-0472, v1: “An Integrative Review of the Cardiovascular Disease Spectrum: Integrating Multi-Omics and Artificial Intelligence for Precision Cardiology.” Truvace, 2026-07-22. /record/TRV-2026-0472 (accessed at citation time). sha256 c66696e3a6c8342b…
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