The process of drug development typically spans 10 to 15 years and demands significant financial investment, yet the success rate remains remarkably low. To enhance the efficiency of drug development, numerous efforts have been made to incorporate computational methods across every phase. One of the most effective approaches is the application of population pharmacokinetic-pharmacodynamic (PK-PD) modeling, which plays a crucial role in streamlining this process.
In this course, students will delve deeply into the core principles of population PK-PD modeling, with an emphasis on how these models can be leveraged to improve the chances of success at every stage of drug development—from discovery to preclinical to clinical trials. Additionally, the course will explore how PK-PD models assist clinicians in optimizing drug treatment strategies. The integration of artificial intelligence with traditional PK-PD methods will also be introduced, highlighting its potential to further enhance model-informed drug development.
- Instructor: Michael Motion
- Instructor: Rada Savic