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MIDD Evidence to Support Drug Regulatory Decisions in China
Lili Gao1, Yan Wang1, Ruirui He1
1Center for Drug Evaluation, National Medical Products Administration, China.
Abstract:
The paper systematically reviews the technical guidelines for Model-Informed Drug Development (MIDD) issued by China's Center for Drug Evaluation (CDE), analyzing typical application cases of innovative drugs approved both in China and internationally to evaluate MIDD's critical role in supporting drug development and regulatory decision-making. As of December 2025, CDE has released seven specific guidelines focused on quantitative pharmacology models, covering the entire drug development lifecycle, including dose exploration and optimization, pediatric extrapolation, rare disease drug development, and exposure-response (E-R) relationship research. MIDD have been successfully applied across multiple domains in innovative drug development, optimizing dosing regimens through E-R analysis for dose selection; constructing comprehensive evidence chains via modeling and simulation for pediatric and rare disease drug development; supporting dosage rationality through population PK andPBPK models for dose adjustments in special populations; and characterizing complex in vivo processes in advanced therapeutic products through mechanistic models. While MIDD enhances R&D efficiency and reduces clinical trial burdens, the field in China currently faces three major challenges: data quality, prospective design, and validation standards. It is necessary to strengthen data collection, model validation, and full lifecycle management to promote the paradigm shift from "model-assisted" to "model-driven" drug development, thereby accelerating the global market entry of Chinese innovative drugs.
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