SOURCE-LINKED INTELLIGENCE
MultiomIcs based Risk stratification of Atherosclerotic CardiovascuLar disEase
ping of plaques and circulating biomarkers, (3) Generate functionally informed polygenic risk scores by combining experimental fine-mapping and gene prioritization approaches with integrative GRN and deep learning modelling. (4) Derive novel risk prediction models incorporating polygenic risk and circulating biomarkers. Providing a new gold standard for prediction models to accurately risk stratify stroke and MI represents a technological breakthrough allowing for earlier diagnoses and treatments of ASCVD. Atherosclerotic Cardiovascular Disease, Coronary Artery Disease, Peripheral Artery Disease, Stroke, Risk prediction, SCORE2, Biomarker, Gene Regulatory Network, Transcriptomics,Proteomics,Metabolomics
Read original source ↗ Open in workspace
- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 4599866.25
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.