AI In Action: Redefining Drug Discovery and Development

Saved in:
Bibliographic Details
Published inClinical and translational science Vol. 18; no. 2; pp. e70149 - n/a
Main Authors Kanakia, Anshul, Sale, Mark, Zhao, Liang, Zhou, Zhu
Format Journal Article
LanguageEnglish
Published United States John Wiley & Sons, Inc 01.02.2025
John Wiley and Sons Inc
Wiley
Subjects
artificial intelligence
Artificial Intelligence and Machine Learning
Case studies
clinical research
Datasets
Drug development
drug discovery
Generative artificial intelligence
Kinases
Life sciences
Neural networks
Optimization
Patient safety
Pharmaceutical industry
Pharmacology
Proteins
R&D
Research & development
Success
drug development
drug discovery
clinical research
artificial intelligence
Online AccessGet full text
ISSN1752-8054
1752-8062
1752-8062
DOI10.1111/cts.70149

Cover

More Information
Bibliography:Anshul Kanakia, Mark Sale, Liang Zhao and Zhu Zhou contributed equally to this work.
Funding
Z.Z. was supported by the National Institute Of General Medical Sciences of the National Institutes of Health under Award Number R16GM146679. M.S. was funded by FDA/NIH grant (Development of a model selection method for population pharmacokinetics analysis by deep‐learning‐based reinforcement learning; Unique Federal Award Identification Number: 1U01FD007355). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies.
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
Funding: Z.Z. was supported by NIH/NIGMS (Grant R16 GM146679). M.S. was funded by FDA/NIH grant (Development of a model selection method for population pharmacokinetics analysis by deep‐learning‐based reinforcement learning; Unique Federal Award Identification Number: 1U01FD007355).
ISSN:1752-8054
1752-8062
1752-8062
DOI:10.1111/cts.70149