Artificial intelligence and real-world data for drug and food safety – A regulatory science perspective

Thakkar, S; Slikker, W; Yiannas, F; Silva, P; Blais, B; Chng, KR; Liu, Z; Adholeya, A; Pappalardo, F; Soares, MDLC; Beeler, P; Whelan, M; Roberts, R; Borlak, J; Hugas, M; Torrecilla-Salinas, C; Girard, P; Diamond, MC; Verloo, D; Panda, B; Rose, MC; Jornet, JB; Furuhama, A; Fang, H; Kwegyir-Afful, E; Heintz, K; Arvidson, K; Burgos, JG; Horst, A; Tong, W

Artificial intelligence and real-world data for drug and food safety – A regulatory science perspective

journal contribution

posted on 2024-06-03, 15:11 authored by S Thakkar, W Slikker, F Yiannas, P Silva, B Blais, KR Chng, Z Liu, A Adholeya, F Pappalardo, MDLC Soares, P Beeler, M Whelan, R Roberts, J Borlak, M Hugas, C Torrecilla-Salinas, P Girard, MC Diamond, D Verloo, B Panda, MC Rose, JB Jornet, A Furuhama, H Fang, E Kwegyir-Afful, K Heintz, K Arvidson, JG Burgos, A Horst, W Tong

Artificial intelligence and real-world data for drug and food safety – A regulatory science perspective

History

Journal

Regulatory Toxicology and Pharmacology

Volume

140

Article number

105388

Pagination

1-8

Location

Amsterdam, The Netherlands

Publisher DOI

https://doi.org/10.1016/j.yrtph.2023.105388

ISSN

0273-2300

eISSN

1096-0295

Language

eng

Author URL

https://www.ncbi.nlm.nih.gov/pubmed/37061083

Publication classification

C1.1 Refereed article in a scholarly journal

Publisher

Elsevier

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Artificial intelligence and real-world data for drug and food safety – A regulatory science perspective

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