Confidence Without Comprehension: The Unsettling Science Behind AI-Discovered Drug Candidates
Artificial intelligence is generating drug candidates that perform remarkably well in early testing — yet no one can fully explain why they work at a molecular level. As several of these compounds enter human clinical trials, the biomedical community is confronting a foundational tension between predictive power and mechanistic understanding, with patient safety and regulatory credibility hanging in the balance.