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    "headline": "A Blood Signature Forecasts Six Heart Diseases",
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    "dek": "CardiOmicScore combines thousands of proteins and metabolites to identify elevated cardiovascular risk years ahead.",
    "summary": "CardiOmicScore combines thousands of proteins and metabolites to identify elevated cardiovascular risk years ahead.",
    "body_text": "A University of Hong Kong team trained a deep-learning model on UK Biobank measurements spanning 2,920 proteins and 168 metabolites. The resulting CardiOmicScore predicted risk across six cardiovascular diseases and, for people it classified as elevated risk, could signal danger as far as 15 years ahead. In the reported analysis it outperformed a polygenic risk score. The score remains a research model derived from one large cohort, not an approved clinical blood test or a substitute for established assessment.",
    "why_it_matters": "CardiOmicScore combines thousands of proteins and metabolites to identify elevated cardiovascular risk years ahead.",
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      "The score remains a research model derived from one large cohort, not an approved clinical blood test or a substitute for established assessment."
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    "tags": [
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      "source_id": "source-2026-07-20-008",
      "title": "University of Hong Kong via ScienceDaily: CardiOmicScore",
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