文献
J-GLOBAL ID:202202285241809197
整理番号:22A0970252
機械学習により支援された母集団薬物動態モデル選択【JST・京大機械翻訳】
Population pharmacokinetic model selection assisted by machine learning
著者 (6件):
Sibieude Emeric
(School of Basic Sciences, EPFL, Lausanne, Switzerland)
,
Sibieude Emeric
(Merck Institute for Pharmacometrics (an affiliate of Merck KGaA, Darmstadt, Germany), Lausanne, Switzerland)
,
Khandelwal Akash
(Merck KGaA, Darmstadt, Germany)
,
Girard Pascal
(Merck Institute for Pharmacometrics (an affiliate of Merck KGaA, Darmstadt, Germany), Lausanne, Switzerland)
,
Hesthaven Jan S.
(Chair of Computational Mathematics and Simulation Science (MCSS), Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland)
,
Terranova Nadia
(Merck Institute for Pharmacometrics (an affiliate of Merck KGaA, Darmstadt, Germany), Lausanne, Switzerland)
資料名:
Journal of Pharmacokinetics and Pharmacodynamics
(Journal of Pharmacokinetics and Pharmacodynamics)
巻:
49
号:
2
ページ:
257-270
発行年:
2022年
JST資料番号:
D0684A
ISSN:
1567-567X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)