Model Master File Framework: A Regulatory Path Advancing Modeling and Simulation Applications

To advance drug product development, regulatory decision making, and improve patient care, FDA has committed to the quantitative medicine paradigm that involves, among others, quantitative in silico methodologies and tools developed based on nonclinical, clinical, and real-world sources. In this Perspective, Model Master File (MMF) submissions as Type V Drug Master Files (DMF) are discussed as a path towards this commitment.

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Publication Details

Journal
Clinical and Translational Science
Published
2026-09-21
DOI
https://doi.org/10.1111/cts.70703
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
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article

Model Master File Framework: A Regulatory Path Advancing Modeling and Simulation Applications

Lanyan Fang, Robert A. Lionberger, Eleftheria Tsakalozou, Lei Zhang et al.
Clinical and Translational Science
Statistical Methods in Clinical Trials
article

Model Master File Framework: A Regulatory Path Advancing Modeling and Simulation Applications

Lanyan Fang, Robert A. Lionberger, Eleftheria Tsakalozou, Lei Zhang, Rachel Erdman
article en

Abstract

To advance drug product development, regulatory decision making, and improve patient care, FDA has committed to the quantitative medicine paradigm that involves, among others, quantitative in silico methodologies and tools developed based on nonclinical, clinical, and real-world sources. In this Perspective, Model Master File (MMF) submissions as Type V Drug Master Files (DMF) are discussed as a path towards this commitment.

Clinical and Translational ScienceVol. 19(10)
United States Food and Drug Administration (US), Center for Drug Evaluation and Research (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 8%
Statistical Methods in Clinical Trials
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Model Master File Framework: A Regulatory Path Advancing Modeling and Simulation Applications — Lanyan Fang, Robert A. Lionberger, et al. · Clinical and Translational Science (2026) | TGRS Research Map | TGRS