AI drug development’s data problem
E. Richard Gold, Robert Cook‐Deegan
Abstract
The future of drug discovery may be artificial intelligence (AI), but its present is not. AI is in its infancy in the field. To help AI mature, developers need nonproprietary, open, large, high-quality datasets to train and validate models, managed by independent organizations.
Topics & Concepts
Computer scienceDrug discoveryField (mathematics)Data scienceDrug developmentQuality (philosophy)Artificial intelligenceDrugMedicineBioinformaticsPharmacologyBiologyMathematicsPhilosophyPure mathematicsEpistemologyComputational Drug Discovery MethodsGenetics, Bioinformatics, and Biomedical Research