TxBench-PP benchmark shows leading AI agents achieve at most 59% success on tasks requiring recovery of preclinical pharmacology conclusions from assay data.
Corsello, Rohith T
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Drug-blind cancer sensitivity prediction is limited by evaluation metric and training distribution rather than drug representation complexity.
citing papers explorer
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TxBench-PP: Analyzing AI Agent Performance on Small-Molecule Preclinical Pharmacology
TxBench-PP benchmark shows leading AI agents achieve at most 59% success on tasks requiring recovery of preclinical pharmacology conclusions from assay data.
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Training distribution determines the ceiling of drug-blind cancer sensitivity prediction
Drug-blind cancer sensitivity prediction is limited by evaluation metric and training distribution rather than drug representation complexity.