{
  "id": 3488046,
  "title": "A knowledge-driven framework for predicting single-cell responses for unprofiled drugs",
  "url": "https://urgent.news/2026/08/26/a-knowledge-driven-framework-for-predicting-single-cell-responses-for",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-26T00:00:00.000Z",
  "source": {
    "name": "Nature Machine Intelligence",
    "slug": "nature-machine-intelligence",
    "url": "https://www.nature.com/articles/s42256-026-01286-w"
  },
  "original_language": "en",
  "account": null,
  "summary": "Nature Machine Intelligence, Published online: 26 August 2026; doi:10.1038/s42256-026-01286-w Feng et al. introduce MAP, an artificial intelligence framework that integrates biological mechanism knowledge to predict how cells respond to chemical perturbation, improving generalization to untested drugs and prioritizing cancer drug candidates in virtual screening.",
  "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."
}