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发展定量比较方法以支持复杂仿制药的开发。

Development of Quantitative Comparative Approaches to Support Complex Generic Drug Development.

机构信息

Division of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, Maryland, 20993, USA.

Swati Spentose Pvt. Ltd, Mumbai, India.

出版信息

AAPS J. 2024 Jan 24;26(1):15. doi: 10.1208/s12248-024-00885-y.

Abstract

On October 27-28, 2022, the US Food and Drug Administration (FDA) and the Center for Research on Complex Generics (CRCG) hosted a virtual public workshop titled "Best Practices for Utilizing Modeling Approaches to Support Generic Product Development." This report summarizes the presentations and panel discussions for a session titled "Development of Quantitative Comparative Approaches to Support Complex Generic Drug Development." This session featured speakers and panelists from both the generic industry and the FDA who described applications of advanced quantitative approaches for generic drug development and regulatory assessment within three main topics of interest: (1) API sameness assessment for complex generics, (2) particle size distribution assessment, and (3) dissolution profile similarity comparison. The key takeaways were that the analysis of complex data poses significant challenges to the application of conventional statistical bioequivalence methods, and there are various opportunities for using data analytics approaches for developing and applying suitable equivalence assessment method.

摘要

2022 年 10 月 27 日至 28 日,美国食品和药物管理局(FDA)和复杂仿制药研究中心(CRCG)举办了一场名为“利用建模方法支持仿制药开发的最佳实践”的虚拟公开研讨会。本报告总结了题为“开发支持复杂仿制药开发的定量比较方法”的会议的演示和小组讨论。该会议的演讲者和小组成员来自仿制药行业和 FDA,他们描述了高级定量方法在三个主要感兴趣领域的应用:(1)复杂仿制药的 API 一致性评估,(2)粒度分布评估,以及(3)溶出曲线相似性比较。主要收获是,复杂数据的分析对常规统计生物等效性方法的应用提出了重大挑战,并且有各种机会使用数据分析方法来开发和应用合适的等效性评估方法。

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