Applications of machine learning / artificial intelligence in clinical pharmacometrics




Join the editors of Pharmacology Research & Perspectives and guest speaker Prof Robert Bies for an insightful discussion on how machine learning and artificial intelligence are transforming clinical pharmacometrics. From enhancing drug development to optimizing personalized treatment strategies, AI is revolutionizing the clinical landscape, offering unprecedented precision and efficiency. Don’t miss this opportunity to explore the cutting edge of AI-driven advancements in pharmacology.


Dr Robert Bies


Dr. Bies is currently Professor of Pharmaceutical Sciences and Associate Dean of Graduate Education at the School of Pharmacy and Pharmaceutical Sciences as well as a member of the Institute for Artificial Intelligence and Data Science at the State University of New York at Buffalo. Prior to this, Dr. Bies was Associate Professor of Medicine and Medical and Molecular Genetics at the Indiana University School of Medicine and Director of the Disease and Therapeutic Response Modeling program for the Indiana Clinical Translational Sciences Institute. He serves as: project scientist at CAMH, University of Toronto; on the editorial boards of the Journal of Pharmacokinetics and Pharmacodynamics, Clinical Pharmacology and Therapeutics:Pharmacometrics and Systems Pharmacology, Journal of Clinical Pharmacology, Biopharmaceutics and Drug Disposition; and the British Journal of Clinical Pharmacology. Dr. Bies is a member of ISoP, ACCP and ASCPT. He is also a Fellow of the International Society for Pharmacometrics.

Dr. Bies received a BSc degree in Pharmacy from the University of Toronto (1991), a Pharm.D. from the UTHSCSA and the University of Texas at Austin (1994) and a Ph.D. Pharmacology from Georgetown University in 1998. This was followed by postdoctoral training at the Center for Drug Development Sciences until 2000.

Tickets


Online Ticket Member Ticket Free
Online Ticket Non-Member Ticket Free
From
23 April 2025
To
23 April 2025
Time
13:00 PM to 14:15 PM



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