Clinical pharmacology and pharmacometrics are experiencing an explosion of novel tools, concepts, and methods that will change, or are already changing, how we do drug development. You have probably heard the terms digital twins, large language models, neural ODEs, causal inference, and QSP workflow.
But what do these terms actually mean, and what are the practical applications in quantitative drug development?
In this live virtual workshop, we will break down these five terms to build a conceptual understanding and clear definition, followed by an example of practical usage in drug development, and an opportunity to interact with instructors to fill any understanding gaps.
By the end of this workshop, you will be able to:
- Describe the definition and concepts of 5 topics: digital twins, large language models, neural ODEs, causal inference, and QSP workflow
- Explain how these concepts/tools may be applied in quantitative drug development.
- Apply a structured framework to understand future new terms and concepts in quantitative drug development.
Step-by-Step Guidance
For each topic, a moderator will guide an expert through explaining the concept via a simple build. The conversational nature of this approach will help you digest the material by conveying technical concepts without getting weighed down by non-essential details.
After learning the concepts, you will discover how each topic is applied broadly across the drug development landscape, giving you practical insight you can bring back to your work.
You’ll engage with live polls and interactive Q&A to reinforce your understanding, see how the concepts apply in real drug development, and get your questions answered by the experts.
Register today to build the skills to define these five foundational concepts, connect each to real development applications, and use a repeatable framework for interpreting emerging tools.