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Development of Quantitative Comparative Approaches to Support Complex Generic Drug Development.
Gong, Yuqing; Barretto, Francis-Xavier; Tsong, Yi; Mousa, Youssef; Ren, Ke; Kozak, Darby; Shen, Meiyu; Hu, Meng; Zhao, Liang.
Afiliación
  • Gong Y; 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.
  • Barretto FX; Swati Spentose Pvt. Ltd, Mumbai, India.
  • Tsong Y; Division of Biometrics VI, Office of Biostatistics, Office of Translational Sciences, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA.
  • Mousa Y; 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.
  • Ren K; Division of Bioequivalence III, Office of Bioequivalence, Office of Generic Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA.
  • Kozak D; Division of Therapeutic Performance I, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA.
  • Shen M; Division of Biometrics VI, Office of Biostatistics, Office of Translational Sciences, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA.
  • Hu M; 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. Meng.Hu@fda.hhs.gov.
  • Zhao L; 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.
AAPS J ; 26(1): 15, 2024 01 24.
Article en En | MEDLINE | ID: mdl-38267593
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.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Medicamentos Genéricos / Desarrollo de Medicamentos Tipo de estudio: Guideline / Prognostic_studies País/Región como asunto: America do norte Idioma: En Revista: AAPS J / AAPS j / The AAPS journal Asunto de la revista: FARMACOLOGIA / TERAPIA POR MEDICAMENTOS Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Medicamentos Genéricos / Desarrollo de Medicamentos Tipo de estudio: Guideline / Prognostic_studies País/Región como asunto: America do norte Idioma: En Revista: AAPS J / AAPS j / The AAPS journal Asunto de la revista: FARMACOLOGIA / TERAPIA POR MEDICAMENTOS Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos