Course Description:

Large Language Models (LLM) are widely discussed across the industry, but their practical and safe application within a regulated scientific environment remains little understood. In pharmacometrics, there is a gap between a generic AI response and outputs that are reproducible, reviewable and appropriate for scientific decision making. This AI Lab addresses that gap with a practical, hands-on introduction to MonolixSuite specialized AI assistants.

Working with early access beta tools in MonolixSuite, you will use guided examples to explore how AI can support tasks such as drafting model elements, generating code, and supporting workflows. The session includes an introduction to the Model Context Protocol (MCP) to connect AI assistants with a modeling environment. By including realistic applications and acknowledging current limitations, the AI Lab will help you develop a clear view on what AI can support today, and how to use these tools safely and effectively in your own workflows.

New to MonolixSuite? No problem. To support participants with different backgrounds, registration includes free access to our online beginner training. These self-paced resources help you get the most out of the course.

Includes a temporary license for the MonolixSuite.

This is an IN-PERSON WORKSHOP taking place in Dubrovnik, Croatia, as a satellite event of the PAGE conference.