Integrate Pharmacometrics, QSP, AI & Real-World Evidence to Improve Development Strategy, Reduce Risk & Enhance Clinical and Regulatory Success
Model-informed drug development has crossed a critical threshold. With the ICH M15 guideline now finalized and regulators increasingly weighing model-informed evidence alongside traditional clinical data, quantitative approaches have moved from a supportive discipline into a core part of development strategy.
But guidance alone doesn't solve the practical questions teams face daily: how to integrate MIDD from day one, how to bring AI and machine learning into the workflow without losing regulator confidence, and how to demonstrate model credibility when data is limited.
The 2nd Model-Informed Drug Development Summit is where 60+ senior pharmacometricians, clinical pharmacologists, QSP scientists, translational leaders and regulatory experts come together to work through these questions directly, not in a convention space of a thousand people, but in a room intimate enough that you'll know every name by day three. Unlike the larger association meetings, this is a forum built for depth over volume: expert-led case studies, candid conversations around strategy, and connections that actually go somewhere after the event ends.
Across a workshop day and two conference days, expect practical, modality-agnostic conversations spanning AI-assisted modelling, the pharmacometrics-biostatistics interface, internal and regulatory stakeholder buy-in.
Attending Companies Include