🧬 Training and evaluating AI scientists on drug target discovery is hard. We introduce DrugTargetWorld: Synthetic Biomedical Worlds for Tra…

🧬 Training and evaluating AI scientists on drug target discovery is hard. We introduce DrugTargetWorld: Synthetic Biomedical Worlds for Training and Benchmarking AI Scientists The environment turns end-to-end drug target discovery into a problem where AI scientists can be evaluated against causal truth. 🎯 We’ve been able to hill climb on problems like Chess, Go, StarCraft, and even now computer science and mathematics because they have a verifiable reward. We want to bring that to drug discovery. Built with @BGomes_1905 @euanashley and an incredible team at Stanford and beyond. Media

Source: Gary Marcus (X) | 2026-10-08