Modeling science is entering a new era that fuses computational modeling with a deeper understanding of drug behavior. By integrating AI with quantitative systems pharmacology (QSP), the path to developing new drugs can be significantly shortened, all while preserving efficiency, scientific rigor, and regulatory standards. At PAGE 2026, we will showcase PumasAide, which links the AI coding agent you already use directly to a live Pumas session, and demonstrate how it complements QSP to support your model-informed drug development (MIDD) decisions. Through our pre-conference workshop and podium talk, you will see how scientific machine learning powers stronger, data-driven predictions and decisions across the drug development pipeline.

Networking

Date: June 2-5, 2026

Location: Lacroma Valamar Hotel, Dubrovnik, Croatia

Meet the team at booth #16! Dive into live demos, expert insights and explore how QSP and AI/ML can help you accelerate drug development with our experts, Dr. Dhanashri Gudi and Dr. Arti Thakkar.

Podium

Date: June 5, 2026 | 11:45 am - 12:05 pm

Speaker: Dr. Lorenzo Contento

Topic: Early go/no-go decisions in clinical trials using a DeepNLME joint tumor growth dynamics and overall survival model

This session will explore how DeepNLME approaches can support earlier, more informed decision-making in oncology trials. If you work in oncology trial design, biomarker-driven strategies, or AI/ML powered drug development, this is the session you don’t want to miss!

Poster Presentations

• InVitroInVivoCorrelation.jl: A Modular Julia Package for Level A IVIVC | Presenter: Arno Strouwen
• Monte Carlo expectation maximization in Pumas: Leveraging sufficient statistics for flexible pharmacometric analysis | Presenter: David Müller-Widmann
• Simulation and Estimation of Correlated Non-Gaussian Random Effects in Pumas Using Copulas | Presenter: Patrick Kofod Mogensen
• Multidimensional Scaling for Longitudinal Data Embeddings in Pharmacometrics | Presenter: Lucas Pereira
• Using DeepNLME to identify promising biomarkers with an application to disease progression modelling of Alzheimer’s disease | Presenter: Christos Kaikousidis
• Post-hoc model joining with Normalizing Flows for efficient and scalable multi-endpoint PKPD | Presenter: Niklas Korsbo

Pre-Conference Workshop

Register for our workshop on 'Scientific ML for Pharmacometrics with DeepPumas' where you will learn how bridging mechanistic NLME modeling with scientific machine learning can be used to discover unknown dynamics, leverage rich auxiliary data, and build individualized models while maintaining interpretability.

Date: June 1, 2026

Instructors: Dr. Niklas Korsbo, Dr. Lucas Pereira

Whether you are exploring AI for pharmacometrics, scaling your QSP workflows, or rethinking your MIDD strategy, our team at PAGE 2026 is excited to show you what's possible.