{
  "abstract": null,
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  "affiliations": [
    "Department of Biomedical and Health Informatics, School of Medicine, , Kansas City, MO 64110, USA",
    "Department of Bio Sciences, COMSATS University, Islamabad 45550, Pakistan",
    "Rutgers Institute for Health, Health Care Policy and Aging Research, , New Brunswick, NJ 08901, USA"
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  "fulltext_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13664549/?tool=EBI",
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  "pdf_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13664549/pdf/?tool=EBI",
  "pmcid": "PMC13664549",
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  "published": "2026-09-29",
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  "ris": "https://research.draconitic.com/paper/9k4dg6r8tdavc.ris",
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  "subjects": [
    {
      "field": "medicine",
      "origin": "issn:2072-6694",
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  "title": "AI-Driven Multi-Omics Approaches for Deciphering Small-Cell Lung Cancer Heterogeneity Using Nucleic-Acid-Based Features",
  "title_text": "AI-Driven Multi-Omics Approaches for Deciphering Small-Cell Lung Cancer Heterogeneity Using Nucleic-Acid-Based Features",
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  "updated_at": "2026-10-30T12:17:40Z",
  "url": "https://research.draconitic.com/paper/9k4dg6r8tdavc",
  "venue": "Cancers",
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}