AI drug development's data problem
成果类型：
Editorial Material
署名作者：
Gold, E. Richard; Cook-Deegan, Robert
署名单位：
McGill University; McGill University; Arizona State University; Arizona State University-Tempe
刊物名称：
SCIENCE
ISSN/ISSBN：
0036-10905
DOI：
10.1126/science.adx0339
发表日期：
2025-04-10
页码：
131-131
关键词：
摘要：
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.