Advanced PKPD 2013 Tokyo Details

Advanced PKPD 2013 Tokyo Details

Pharmacokinetics and pharmacodynamics (PKPD) are a set of processes that describe the time course of drug effects. Pharmacometrics is the discipline that provides an understanding of the quantification of PK/PD systems by using models and modeling. The Sheiner and Rowland Advanced Course in PK/PD presents advanced aspects and applications of pharmacokinetics, pharmacodynamics and kinetic/dynamic data analysis in the medical and pharmaceutical sciences.
Target participants and Course objectives:
The Course is designed for people who have a basic working knowledge of concepts in pharmacokinetics, pharmacodynamics and data analysis and who now wish to extend their knowledge and skills further. Emphasis is placed on relating pharmacokinetics to underlying physiological processes and to pharmacodynamics, and on the analysis and modeling of pharmacokinetic and pharmacodynamic data.
Number of participants:
The maximum number of participants is limited to 50. The first-come-first-served principle is applied for the registration. For actual registration, please contact the local host ([email protected]).
Course Content
The Course is conducted for 5 consecutive days from Monday through Friday (please refer to the attached Timetable). The mornings will be devoted to lectures; the afternoons to small-group workshops led by experienced tutors, in which participants will solve practical problems and develop facility with the techniques and approaches discussed in the lectures. Participants should come with a scientific hand calculator. However, the Course does not use specific software (i.e. Course does not include computer hands-on session). Participants can learn knowledge and skills of principles on the PK/PD analysis and modeling.

Topics
• Empirical models for pharmacokinetics and pharmacodynamics
• Mechanistic models for pharmacokinetics (compartmental, physiological) and pharmacodynamics (receptor theory) and combined PKPD (immediate and delayed effects)
• Data analysis techniques for empirical or mechanistic modeling:
point estimates, confidence intervals, hypothesis tests.
• Population pharmacokinetics and pharmacodynamics.
• Disease progress and drug action modeling
• Optimal design

 

Consultation
Participants are encouraged to raise questions from their experience for discussion. Furthermore, additional time is specifically reserved for informal consultations (advanced appointment is highly recommended).