An Integrative Review of the Cardiovascular Disease Spectrum: Integrating Multi-Omics and Artificial Intelligence for Precision Cardiology
Gabriela-Florentina Tapos; Ioan-Alexandru Cîmpeanu; Iasmina-Alexandra Predescu; Sergio Liga; Andra Tiberia Păcurar; Daliborca Vlad; Casiana Boru; Silvia Luca · 2026 · Diseases
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
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 intelligence in cardiology". RESULTS: Evidence was synthesized across seven major cluste
Abstract by Gabriela-Florentina Tapos; Ioan-Alexandru Cîmpeanu; Iasmina-Alexandra Predescu; Sergio Liga; Andra Tiberia Păcurar; Daliborca Vlad; Casiana Boru; Silvia Luca, Diseases (2026) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.3390/diseases14010031