{
  "id": 3842979,
  "title": "DeMoP: A Language-Model-Guided Mixture-of-Experts Framework for Cancer Prognosis",
  "url": "https://urgent.news/2026/08/27/demop-a-language-model-guided-mixture-of-experts-framework-for-cancer",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-27T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.24.746579v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Integrating heterogeneous clinical and molecular data for cancer prognosis remains challenging because their dimensionality, semantics and distributions differ across patients and cohorts. Here we present DeMoP, a language-model-guided mixture-of-experts framework that serializes structured patient profiles as natural-language sequences and learns adaptive prognostic representations from clinical…",
  "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."
}