TY - JOUR
T1 - AI drug development's data problem
AU - Gold, E. Richard
AU - Cook-Deegan, Robert
PY - 2025/4/11
Y1 - 2025/4/11
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=105003323546&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=105003323546&partnerID=8YFLogxK
U2 - 10.1126/science.adx0339
DO - 10.1126/science.adx0339
M3 - Editorial
C2 - 40208973
AN - SCOPUS:105003323546
SN - 0036-8075
VL - 388
SP - 131
JO - Science (New York, N.Y.)
JF - Science (New York, N.Y.)
IS - 6743
ER -