Generative Neural Networks for Addressing the Bioequivalence of Highly Variable Drugs

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書目詳細資料
發表在:	Algorithms vol. 18, no. 5 (2025), p. 266
主要作者:	Nikolopoulos Anastasios
其他作者:	Karalis, Vangelis D
出版:	MDPI AG
主題:	Food & Drug Administration > FDA Federal regulation Datasets Performance evaluation Generic drugs Acceptance Generative adversarial networks Bioequivalence Drug development Pharmaceutical industry Drugs Automation Statistical analysis Generative artificial intelligence Patients Simulation Gastrointestinal surgery Data augmentation Neural networks Monte Carlo simulation Decision making Criteria Pharmacokinetics Design Artificial intelligence Regulatory agencies
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