The theme of ACoP 2026, 'Models to medicines' captures one of the most important shifts in modern drug development: the move from building elegant mathematical models to actively using them to shape the medicines that reach patients. For decades, pharmacometrics has produced increasingly sophisticated models of drug behavior, disease progression, and patient response. The challenge and the opportunity has been translating those models into decisions: which dose, which trial design, which patient subgroup, which go/no-go call.

That translation is now accelerating. Regulators are leaning more heavily on model-based evidence. AI and scientific machine learning are reshaping how models are built and validated. Real-world data, biomarkers, and digital endpoints are giving modelers a richer signal than ever before. The result is a field where the bottleneck is no longer modeling itself, but how quickly and confidently models can be turned into action.

This is the work PumasAI is built to advance. By combining smart modeling, quantitative systems pharmacology, scientific machine learning, and AI in a single, interpretable platform, we help teams move from models to medicines faster without compromising the scientific rigor regulators and patients depend on.

Date: October 11 - 14, 2026

Location: Gaylord National Resort & Convention Center, Maryland, USA

Networking

Meet the team at Booth #5

Date: October 11 - 14, 2026

Drop by to talk with our experts, Dhanashri Gudi and Lindsey Florence, about how AI and quantitative pharmacology are reshaping MIDD. Whether you're scaling your modeling workflows, exploring scientific ML, or rethinking trial design, we'd love to swap ideas and explore how PumasAI can support your 'models to medicines' journey.

Poster Presentations

• Population Pharmacokinetic Analysis of Taletrectinib in Healthy Subjects and Patients with ROS1-Positive (ROS1+) Non-Small Cell Lung Cancer (NSCLC) | Presenter: Mike Tagen
• DeepNLME Autonomously Rivals Expert-Specified Pharmacokinetic Functions for Mosunetuzumab | Presenter: Niklas Korsbo
• Population Pharmacokinetic Analysis of An Oral Meloxicam Formulation (MR-107A-02) in Healthy Volunteers and Surgical Patients | Presenters: Saugandhika Minnikanti, Amit Roy
• Meloxicam (MR-107A-02) Exposure-Response of Pain Relief in Post-Surgery Patients | Presenters: Saugandhika Minnikanti, Amit Roy

Pre-Conference Workshop

Date: October 11, 2026 | 9am-5pm

Instructor: Dr. Niklas Korsbo

Register Now!

This in-person workshop will take attendees through the strategic and technical foundations of machine learning in pharmacometrics. The workshop is designed for pharmacometrics leaders, R&D decision makers, and quantitative scientists who are navigating how machine learning fits into their modeling strategy. The session will focus on how AI and machine learning can support pharmacometric thinking, decision making, and future modeling strategies. This is a conceptual and strategic workshop, not a coding session.