Wednesday 4th to Saturday 7th September 2019
An advanced course presenting aspects and applications of pharmacokinetics, pharmacodynamics and kinetic/dynamic data analysis in the medical and pharmaceutical sciences.
For whom intended:
The Course is designed for those who have a good working knowledge of basic concepts in pharmacokinetics, pharmacodynamics and data analysis and who now wish to extend their knowledge further. Emphasis will be placed on relating pharmacokinetics to underlying physiological processes and to pharmacodynamics, and on the analysis and modelling of pharmacokinetic and pharmacodynamic data.
The course is composed of lectures and subsequent 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. The participants are encouraged to raise questions from their experience for discussion: time is specifically reserved for informal consultations.
A course manual, comprising lecture outlines, derivations, problem sets with answers, and additional reading material will be provided in an electronic format.
This is not a computer modelling training course. There are no computer exercises. However, participants should come with a scientific hand calculator or notebook computer.
Ability to understand and converse in English is essential.
Leon Aarons (England)
Steve Duffull (New Zealand)
Nick Holford (New Zealand)
Mats Karlsson (Sweden)
Academic and Regulatory Institutions: JPY 120,000
Other Institutions (industry and CRO): JPY 200,000
Course Dinner: JPY 10,000
Seats are limited to 50 as maximum. First come first served basis is applied.
Participants who wish to register must send an email to Prof Yusuke Tanigawara, Keio University, Tokyo, Japan < [email protected] >, indicating the following information in either Japanese or English.
- Full name
- Institution and Division
- Postal address
- Telephone (voice)
- Email address
- Category: Academic/Regulatory or Other Institutions
- Participation to Course Dinner: Yes or No
Participants may inquire to the administrative contact: Ms. Hayashi (Tel. 03-5363-3847).
Registration deadline is 20th August, 2019.
Keio University Hiyoshi Campus, Kyosei-Kan.
Address: 4-1-1 Hiyoshi, Kohoku-ku, Yokohama-shi, Kanagawa 223-8526, JAPAN.
Access: One minute walk from Hiyoshi station on the Tokyu Toyoko Line, Tokyu Meguro Line, and Yokohama Municipal Subway Green Line.
08:30-08:45 Introduction (Leon Aarons)
08:45-10:00 Lecture 1 – Empirical Pharmacokinetics (Leon Aarons)
10:00-10:30 Coffee Break
10:30-11:45 Lecture 2 – Principles of Pharmacodynamics (Steve Duffull)
13:00-16:00 Workshop 1 – Empirical PK and PD
16:00-17:15 Lecture 3 – Physiologically Based Pharmacokinetics (Leon Aarons)
17:15-18:00 Consultation (optional) Mats Karlsson/Nick Holford
18:00- Welcome reception (location to be announced)
Thursday 5th September
08:45-10:00 Lecture 4 – Principles of Pharmacokinetics and Pharmacodynamics (Nick Holford)
10:10-10:30 Coffee Break
10:30-12:00 Workshop 2A – PBPK and PKPD Principles
13:00-14:30 Workshop 2B – PBPK and PKPD Principles
14:30-15:00 Coffee Break
15:00-16:15 Lecture 5 Nonlinear regression (Leon Aarons)
16:15-17:30 Lecture 6 Population PKPD Models and Methods (Mats Karlsson)
17:30-18:30 Consultation (optional) Steve Duffull/Leon Aarons
Friday 6th September
09:00-10:30 Workshop 3A – Nonlinear Regression
10:30-11:00 Coffee break
11:00-12:30 Workshop 3B – Population PK
13:30-14:45 Lecture 7 Population PKPD Modelling (Mats Karlsson)
14:45-15:15 Coffee Break
15:15-16:30 Lecture 8 – Principles of Disease Progression (Nick Holford)
16:30-17:30 Consultation (optional) Mats Karlsson/Nick Holford
19:00- Course dinner (location to be announced)
Saturday 7th September
09:00-10:30 Workshop 4A – Population PKPD
10:30-11:00 Coffee Break
11:00-12:30 Workshop 4B – Disease Progression Principles
13:30-14:45 Lecture 9 – Optimal Design (Steve Duffull)
14:45-15:15 Coffee Break
15:15-16:30 Lecture 10 – Models for discrete and time to event data (Mats Karlsson)
END OF COURSE