Efficient Clinical Programs and Decision Making Through Model-Informed Drug Development (MIDD)

Model-Informed Drug Development (MIDD) integrates scientific knowledge with predictive modeling to improve clinical development programs. By using modeling and simulation approaches, researchers can predict treatment outcomes, optimize dosing strategies, and support more informed decision-making throughout the drug development process.

MIDD combines multiple disciplines including pharmacology, biology, statistics, and computational modeling to guide drug development decisions. Approaches such as pharmacokinetic-pharmacodynamic modeling, physiologically based pharmacokinetic modeling, and clinical trial simulation help predict treatment responses and support efficient clinical trial design.

These approaches are increasingly used to support regulatory submissions, optimize dose selection, and improve the probability of success in clinical development programs.

What This Webinar Covers

• Overview of model-informed drug development (MIDD)
• Key modeling methodologies used in drug development programs
• Applications of modeling for dose selection and clinical trial design
• Role of predictive models in clinical decision-making
• Use of modeling approaches to support regulatory interactions