{
  "id": 13753,
  "url": "https://www.technologyreview.com/2026/07/27/1139667/closing-the-data-loop-in-ai-driven-drug-discovery",
  "title": "Closing the data loop in AI-driven drug discovery",
  "summary": "Drug discovery is a high-cost, high-risk endeavor that is under growing pressure from a market increasingly defined by first-mover advantage. Since the 1950s, the cost of developing new pharmaceuticals has roughly doubled every nine years—a phenomenon known as Eroom’s Law. Today, bringing a new drug to market takes an average of 10-15 years and costs…",
  "authors": "MIT Technology Review Insights",
  "category": "news",
  "topics": "regulation,healthcare,biotech",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-27T11:40:16.000Z",
  "fetched_at": "2026-07-28T05:10:12.325Z",
  "source_slug": "mit-tr",
  "source_name": "MIT Technology Review",
  "source_homepage": "https://www.technologyreview.com",
  "ethics_ai_record_url": "https://ethics.ai/record/13753",
  "original_url": "https://www.technologyreview.com/2026/07/27/1139667/closing-the-data-loop-in-ai-driven-drug-discovery",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}