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  "headline": "Multi-Omics Integration: AI-Driven Systems Biology from Genomics to Proteomics",
  "description": "Multi-omics integration uses AI to combine data from multiple biological layers — genome (DNA), transcriptome (RNA), proteome (proteins), and metabolome (small molecules) — into unified models of biological systems. Rather than studying one molecular layer in isolation, multi-omics AI captures the full complexity of living systems, from genetic predisposition to protein function to metabolic output.",
  "dateCreated": "2026-05-24T02:49:13.639Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
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      "name": "AI-based multiomics profiling reveals complementary omics layers for predicting cardiovascular disease",
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      "name": "AI-driven multi-omics integration in precision oncology: from data to clinical impact",
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