Population pharmacokinetic model selection assisted by machine learning.

Sibieude, Emeric; Khandelwal, Akash; Girard, Pascal; Hesthaven, Jan S; Terranova, Nadia

Sibieude, Emeric; Khandelwal, Akash; Girard, Pascal; Hesthaven, Jan S; Terranova, Nadia.

Afiliación

Sibieude E; School of Basic Sciences, EPFL, Lausanne, Switzerland.
Khandelwal A; Merck Institute for Pharmacometrics (an affiliate of Merck KGaA, Darmstadt, Germany), Lausanne, Switzerland.
Girard P; Merck KGaA, Darmstadt, Germany.
Hesthaven JS; Merck Institute for Pharmacometrics (an affiliate of Merck KGaA, Darmstadt, Germany), Lausanne, Switzerland.
Terranova N; Chair of Computational Mathematics and Simulation Science (MCSS), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

J Pharmacokinet Pharmacodyn ; 49(2): 257-270, 2022 04.

Article en En | MEDLINE | ID: mdl-34708337

Asunto(s)

Aprendizaje Automático; Redes Neurales de la Computación; Algoritmos; Modelos Estadísticos

Palabras clave

Deep learning; Genetic algorithm; Model-informed drug discovery and development; Neural network; Pharmacometrics; Population PK/PD

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Aprendizaje Automático Tipo de estudio: Risk_factors_studies Idioma: En Revista: J Pharmacokinet Pharmacodyn Asunto de la revista: FARMACOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Suiza

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