This course will provide an overview of biological systems exhibiting delays, concepts of lifespan driven pharmacodynamic response, and more.
This course will provide an overview of biological systems exhibiting delays, concepts of lifespan driven pharmacodynamic response, modeling of cell maturation, and nonlinear mixed effect lifespan models. Delay differential equations (DDEs) will be introduced and implemented in NONMEM pre-release version 7.5. The course will consist of both lectures and hands-on computer exercises. Source codes for DDE based PK/PD models and data will be provided to the participants.
This course, the Beginners/Intermediate course, and the Advanced Course are part of one series. Interested parties may register for the first two days, the third day, the fourth day or any combination of the three courses.Download Agenda
Wojciech Krzyzanski, PhD, MA.
Associate Professor at Department of Pharmaceutical Sciences, University at Buffalo. Holds PhD in applied mathematics and MA in pharmacology. Research focus on pharmacokinetics and pharmacodynamics of hematopoietic growth factors and pharmacometrics.
Gilbert Koch, PhD.
Gilbert Koch holds a PhD in applied mathematics. He worked as Postdoctoral Associate at the Department of Pharmaceutical Sciences, University at Buffalo and recently joined the Pediatric Pharmacology Group at the University Children´s Hospital in Basel as Senior Research Fellow. His research focus is on delay/lifespan modeling, anti-cancer effects in combination therapy, modeling in pediatric drug development and rare diseases, and target mediated drug disposition with drug-drug interaction.
Robert J. Bauer, PhD.
Vice President, Pharmacometrics, Research and Development (R&D), ICON plc
Robert Bauer holds a PhD. in Pharmacology. He heads the Pharmacometrics R&D department at ICON Plc, Gaithersburg, MD., where he and his group maintain the population analysis software NONMEM®, incorporating leading edge algorithms in pharmacometrics. Dr. Bauer’s focus is on developing and implementing mathematical and statistical algorithms for biomedical problems.
The fees for the course are as follows:
- Industry - $700/per day
- Academia/Government - $500/per day
- Student - $300/day
A discount of 15% is available to groups of 3 or more participants from the same organization.