While Generative AI promises to revolutionize drug development, the transition from 'chatting with a bot' to a validated pharmacometrics workflow remains a significant hurdle. How do we harness these tools to improve efficiency, without compromising scientific integrity or regulatory and data governance concerns?

In this two-hour workshop, MetrumRG will share a practical, human-in-the-loop framework for integrating large language models (LLMs) into pharmacometrics. We will briefly review the evolving regulatory landscape, and discuss how to assess and mitigate the risk of using LLMs in a regulated environment. The core of the workshop then focuses on demonstrating how LLMs, when used with a consistent 'backbone' of standardized tools, can increase both efficiency and quality throughout the analysis, from data preparation to reporting.

Attendees are expected to have a basic understanding of the capabilities of LLMs prior to the workshop. They will leave with a clear, actionable approach for incorporating LLMs into their work, along with a preview of how these capabilities are being embedded into modern platforms by the Metworx team.

This session will be hosted during the PAGE Meeting in Dubrovnik, Croatia by Seth Green, M.S., Director of Data Science and Sam Callisto, Ph.D., Senior Scientist II.