{
  "id": 6583831,
  "title": "AutoScreen: AI Co-Scientist System for Target Discovery in Functional Genomics",
  "url": "https://urgent.news/2026/09/10/autoscreen-ai-co-scientist-system-for-target-discovery-in-functional",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-10T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.09.06.749678v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Target discovery in functional genomics remains largely manual and time-consuming, lacking systematic tools for efficient and reproducible gene-level hypothesis generation. We introduce AutoScreen, an AI co-scientist system supporting target discovery through both Pre-screen Design, which constructs perturbation libraries de novo from free-text research descriptions, and Post-screen Analysis,…",
  "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."
}