{
  "id": 17338666,
  "title": "Network-guided identification of candidate biomarkers for COPD-associated comorbidities using deep learning and real-world transcriptomic data",
  "url": "https://urgent.news/2026/10/30/network-guided-identification-of-candidate-biomarkers-for-copd",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-30T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.26.761000v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Chronic obstructive pulmonary disease (COPD) frequently coexists with infections, metabolic disease, cardiovascular disease, inflammatory lung injury and lung cancer. Molecular markers derived by comparing a comorbidity with healthy controls need not identify the transition from an established COPD state to that comorbidity. We therefore developed a two-stage computational strategy that asks a…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}