Multi-Omics and Artificial Intelligence in Cardiovascular Medicine: From Mechanistic Insights to Clinical Translation

<b>Background:</b> Cardiovascular diseases (CVDs) remain the leading global cause of mortality, yet a critical “translational gap” persists: Conventional biomarkers often fail to detect subclinical stages or predict individual disease trajectories. While single-omics studies have proliferated, the f...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Ewelina Młynarska, Kinga Bojdo, Oliwia Mazur, Kacper Pawlak, Aleksandra Przybylak, Natalia Kustosik, Katarzyna Krawiranda, Jacek Rysz, Beata Franczyk
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-06-01
Schriftenreihe:	Biomedicines
Schlagworte:	cardiovascular disease multi-omics artificial intelligence biomarkers clinical translation non-coding RNA
Online-Zugang:	https://www.mdpi.com/2227-9059/14/6/1301
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!