Closing the data loop in AI-driven drug discovery
- Source
- MIT Technology Review - AI Topic
- Source link
- https://www.technologyreview.com/2026/07/27/1139667/closing-the-data-loop-in-ai-driven-drug-discovery/
- Published
- 2026-07-27 11:40:16
- Discovered by ProcIntel
- 2026-07-31 07:49:36
- Category
- Procurement Technology & AI
- Geography
- Global
- Organisations
- —
- Review status
- Pending
- Record type
- REAL
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…
Procurement Relevance Gate
FAIL
— score 7.0/100 — evaluated 2026-07-31 08:55:19
Only geographic exposure matched — no substantive content indicator, so this cannot pass alone.
- geographic_exposure (weight 8) — matched on "1 linked geography"
Initial Signal Assessment ProcIntel's automatic, provisional read of this individual Signal -- Initial Significance and Initial Confidence, computed deterministically before any Event extraction or human review.
A provisional, automatically-computed reading of this individual Signal, before Event extraction or human review. Not a final rating.
Not Assessed — this Signal did not pass the Procurement Relevance Gate, or is fictional/excluded test data.