PK/PD in Drug Discovery and Development MasterClass - US edition
13-16 February, 2024
Understand the values of PK/PD studies in drug R&D from an industrial perspective
This online masterclass will provide a review of the PK processes and of PD studies from a pharmacological perspective.
13-16 February, 2024, Virtual
Time Zone: Eastern Standard Time (EST) - UTC−05:00
The primary objective of PK/PD modeling is the prediction of the time course of the drug effect and its relation to dose and exposure. PK/PD modeling has become a key success factor in drug R&D. PK/PD represents and extremely useful tool for the selection of drug candidates, their optimization, and for maximal exploitation of early clinical studies for an optimal design of pivotal Phase 3 trials. PK/PD relies on prior in vitro bioassays, animal, and early clinical studies. PK/PD modeling is part of pharmacometrics and can be based also on the patho-physiological mechanisms and progression of the disease to predict therapeutic effects.
This comprehensive and detailed four half-day course describes the PK/PD studies from an industrial perspective to achieve a successful development program up to regulatory submission. The course is intended for those that have a previous background in PK/PD but also for those who wish to get a more in-depth training in PK/PD whilst not being specialists in the field.
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Who should attend?
This course has been specifically designed to address the needs of those working in
the following areas:
• Medical Affairs
• Project Management
• Pre-clinical Discovery and Development
• Clinical Research and Development
• Medical Writing
"High attention to detail in course content and very well delivered"
Product Development Manager
"Very good training led by two knowledgeable and open experts. Excellent insight given on many complex topics. Interactive and highly useful"
USP PD Team Manager
"Great course, impressed with the knowledge of the trainers and ability to answer wide variety of questions!"
Manager, Senior Investigator
MT Sword Laboratories (BMS)
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