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...
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| Główni autorzy: | , , , , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI AG
2026-06-01
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| Seria: | Biomedicines |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/2227-9059/14/6/1301 |
| Etykiety: |
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