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DrugTargetWorld aims to train and benchmark AI scientists on drug target discovery
Its creators say the synthetic environment lets AI scientists be evaluated against causal truth on end-to-end target discovery.
TLDR
A team at Stanford and beyond introduced DrugTargetWorld as synthetic biomedical worlds for training and benchmarking AI scientists on drug target discovery. Their goal is to bring the kind of verifiable reward they credit with progress in chess, Go, StarCraft, computer science and mathematics to drug discovery.
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