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Related Experiment Videos

Challenges in the transition to model-based development.

Thaddeus H Grasela1, Jill Fiedler-Kelly, Cynthia A Walawander

  • 1Cognigen Corporation. ted.grasela@cognigencorp.com

The AAPS Journal
|December 16, 2005
PubMed
Summary
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Implementing model-based drug development requires significant effort. To overcome obstacles, focus on infrastructure, process guidelines, and integrated teams for successful pharmacometric modeling and simulation.

Area of Science:

  • Pharmacometrics
  • Drug Development
  • Computational Science

Background:

  • Pharmacometric modeling and simulation are crucial but often implemented ad hoc in drug development.
  • This inefficient approach hinders the transition to model-based drug development.
  • Current challenges include data availability, high discard rates, and resistance to using modeling and simulation in decision-making.

Purpose of the Study:

  • To identify critical elements for successful implementation of model-based drug development.
  • To address the obstacles hindering the integration of modeling and simulation into drug development programs.
  • To outline a strategic approach for realizing the full value of modeling and simulation.

Main Methods:

  • The study emphasizes a strategic, process-oriented approach rather than specific technical methodologies.

Related Experiment Videos

  • It focuses on the necessary components for effective integration of modeling and simulation.
  • Key elements identified include infrastructure, process development, and organizational/cultural changes.
  • Main Results:

    • Successful model-based development hinges on three critical elements: robust infrastructure, defined processes, and integrated teams.
    • Infrastructure involves efficient data pooling across trials and programs.
    • Process development requires guidelines for application and assessment, while organizational change necessitates multidisciplinary teams trained in modeling and simulation.

    Conclusions:

    • A mature process capability for modeling and simulation is essential for effective drug development.
    • Developing integrated infrastructure, clear processes, and fostering a supportive organizational culture are critical for success.
    • These advancements will enable the full realization of the benefits of model-based drug development.