{
  "id": 5463565,
  "title": "Ageas enables time-agnostic cell fate inference from single-cell and spatial multi-omics data",
  "url": "https://urgent.news/2026/09/03/ageas-enables-time-agnostic-cell-fate-inference-from-single-cell-and",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-03T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.30.748098v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Understanding cell fate decisions is fundamental to developmental biology and disease research. However, experimental lineage tracing requires genetic manipulation, which is impractical in many systems, particularly in humans. Computational approaches often rely on time-resolved measurements, which single-cell and spatial omics studies rarely provide. Here, we present Ageas, a time-agnostic…",
  "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."
}