AI-based multiomics profiling reveals complementary omics contributions to personalized prediction of cardiovascular disease - PubMed
3 months ago
- #AI
- #cardiovascular disease
- #multiomics
- AI-based multiomics profiling improves personalized prediction of cardiovascular disease (CVD).
- CardiOmicScore framework uses proteomics (ProScore) and metabolomics (MetScore) for CVD risk prediction.
- ProScore and MetScore show strong predictive performance (C-index range: 0.69-0.82 and 0.64-0.74, respectively).
- Combining multiomics with clinical data enhances risk prediction up to 15 years before disease onset.
- Identifies key proteins and metabolites for potential biomarkers and targeted therapies in CVD prevention.