Leveraging Modeling and Simulation to Enhance the Efficiency of Bioequivalence Approaches for Generic Drugs: Highlights from the 2023 Generic Drug Science and Research Initiatives Public Workshop

Arindom Pal, Fang Wu, Ross Walenga, Eleftheria Tsakalozou, Khondoker Alam, Yuqing Gong, Liang Zhao, Lanyan Fang
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Abstract

The 2023 Generic Drug Science and Research Initiative Public Workshop organized by the U.S. Food and Drug Administration (FDA) discussed the research needs to improve and enhance bioequivalence (BE) approaches for generic drug development. FDA takes such research needs and panel discussions into account to develop its Generic Drug User Fee Amendments III (GDUFA III) Science and Research Initiatives specific to generics. During the five workshop sessions, presentations and panel discussions focused on identifying and addressing scientific gaps and research needs related to nitrosamine impurity issues, BE assessment for oral products, innovative BE approaches for long-acting injectable products, alternative BE approaches for orally inhaled products, and advanced BE methods for topical products. Specifically, this report highlights the discussions on how to improve BE assessment for developing generic drug products based on research priorities for leveraging quantitative methods and modeling, as well as artificial intelligence/machine learning (AI/ML).

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利用建模和模拟提高仿制药生物等效性方法的效率:2023 年仿制药科学与研究计划公开研讨会要点
美国食品和药物管理局(FDA)举办的 2023 年仿制药科学研究计划公开研讨会讨论了改进和提高仿制药开发的生物等效性(BE)方法的研究需求。FDA 将这些研究需求和小组讨论纳入考虑范围,以制定专门针对仿制药的仿制药使用者费用修正案 III (GDUFA III) 科学与研究计划。在五次研讨会期间,演讲和小组讨论的重点是确定和解决与亚硝胺杂质问题、口服产品的 BE 评估、长效注射产品的创新 BE 方法、口服吸入产品的替代 BE 方法以及外用产品的先进 BE 方法有关的科学差距和研究需求。具体而言,本报告重点讨论了如何根据利用定量方法和建模以及人工智能/机器学习(AI/ML)的研究重点,改进开发仿制药产品的 BE 评估。
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