The potential and pitfalls of artificial intelligence in clinical pharmacology.

Johnson, Martin; Patel, Mishal; Phipps, Alex; van der Schaar, Mihaela; Boulton, Dave; Gibbs, Megan

Johnson, Martin; Patel, Mishal; Phipps, Alex; van der Schaar, Mihaela; Boulton, Dave; Gibbs, Megan.

Afiliação

Johnson M; Clinical Pharmacology and Quantitative Pharmacology, Clinical Pharmacology and Safety Science, R&D, AstraZeneca, Cambridge, UK.
Patel M; Clinical Pharmacology and Quantitative Pharmacology, Artificial Intelligence & Data Analytics, R&D, AstraZeneca, Cambridge, UK.
Phipps A; Clinical Pharmacology and Quantitative Pharmacology, Clinical Pharmacology and Safety Science, R&D, AstraZeneca, Cambridge, UK.
van der Schaar M; Cambridge Centre for Artificial Intelligence in Medicine, Department of Applied Mathematics and Theoretical Physics and Department of Population Health, University of Cambridge, Cambridge, UK.
Boulton D; Clinical Pharmacology and Quantitative Pharmacology, Clinical Pharmacology & Safety Sciences, R&D, AstraZeneca, Gaithersburg, Maryland, USA.
Gibbs M; Clinical Pharmacology and Quantitative Pharmacology, Clinical Pharmacology & Safety Sciences, R&D, AstraZeneca, Gaithersburg, Maryland, USA.

CPT Pharmacometrics Syst Pharmacol ; 12(3): 279-284, 2023 03.

Article em En | MEDLINE | ID: mdl-36717763

Assuntos

Inteligência Artificial; Farmacologia Clínica; Humanos

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Farmacologia Clínica / Inteligência Artificial Limite: Humans Idioma: En Revista: CPT Pharmacometrics Syst Pharmacol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

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