{
  "id": 14150259,
  "title": "BioMod: Biological Module Tokenization for Single-Cell Foundation Modeling",
  "url": "https://urgent.news/2026/10/13/biomod-biological-module-tokenization-for-single-cell-foundation",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-13T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.12.758490v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Single-cell foundation models typically represent cells as flat sequences of individual genes, requiring higher-order biological organization to be inferred implicitly from sparse expression profiles. Similar to the evolution from character-level to semantic tokenization in natural language processing,we hypothesize that cellular states can be more efficiently represented using biologically…",
  "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."
}