Purpose
Foster rigorous, reproducible, and translational AI approaches in pharmacometrics—with a strong AI focus across QSP, PBPK, and PK/PD—that directly impact patient care, regulatory science, or therapeutic innovation. We welcome contributions to AI methodologies, best practices, and innovations across industry, academia, and regulatory bodies.
Goals
- Facilitate progress in responsible and effective use of AI for pharmacometric modeling, and analysis workflows.
- Establish and disseminate best practices for AI development and validation in pharmacometrics.
- Maintain benchmarking datasets for AI evaluation.
- Offer education and outreach.
- Develop collaborative white papers on AI in pharmacometrics.
- Connect methodological innovation with clinical utility.
- Promote scientific discourse on AI in pharmacometrics through diverse forums.
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