Pharmacometrics
Course content
Lectures covering PK-PD relationships, as well as distribution, metabolite kinetics, effect at receptor and ionchannel level, effect measurement, dose-effect relationships, population methods, simulation of PK-PD relationships and variability in PK-PD response and dosing to different patient populations.
Computer sessions for pharmacokinetic pharmacodynamic modeling using the program Phoenix WinNonlin, Berkeley Madonna and Microsoft Excel.
MSc Programme in Quantitative Biology and Disease Modelling - mandatory in the Technological Specialization
MSc Programme in Medicinal Chemistry - elective
MSc Programme in Pharmacy (Danish programme cand.pharm) - elective
MSc Programme in Pharmaceutical Sciences (Danish programme cand.scient.pharm) - restricted elective
MSc Programme in Pharmaceutical Sciences (English programme) - restricted elective
At the end of the course, students are expected to be able to:
Knowledge
- demonstrate knowledge of pharmacokinetic (PK) and pharmacodynamic (PD) in the individual as well as the population
- understand how to calculate PK and PD parameters and use them in a quantitative description of the interaction between a drug and the body over time.
- obtain knowledge on variability in patient populations
Skills
- obtain insight and hands-on experience with pharmacokinetic and –dynamic data analysis, based on different examples of plasma concentration-time course linked to therapeutic response.
- obtain experience with the modelling software Phoenix WinNonlin and Microsoft Excel for data analysis.
- apply knowledge on variability in patient populations to a PKPD analysis that can be used to describe variability in response in different patient segments and in drug research and illustrate development within the pharmaceutical industry.
Competences
- design dosing strategies in different clinical situations based on their knowledge about PKPD (e.g. taking variations such as demographics, organfunction, pharmacogenetics, comobidity and interactions into account).
- design experiments for the drug research and development based on their knowledge about PKPD
Lectures: 20 lectures
Tutorials/computer sessions: 16 hours
- M. Rowland and T. Tozer, Clinical Pharmacokinetics and Pharmacodynamics, ed. 5, 2018 or ed. 4, 2011
- Notes and lecture hand-outs available on the course homepage
Participation and exam in either Basic Pharmacology or Principles of Pharmacology or similar, as the student should be familiar with the basic pharmacokinetic parameters and calculations, concepts determining variability in order to suggest individual dosing as well as knowledge and competence for reasoning on PKPD information
If you are applying for the course as a credit transfer student, you must have passed Basic Pharmacology or Principles of Pharmacology or have acquired similar competencies in another course. Documentation for corresponding competencies in the form of a course description and an exam result must be attached to your application.
Oral feedback will be given at tutorials and computer excercises
Open for credit transfer students and other external students. Apply here:
Credit transfer students:
Credit transfer student at SUND – University of Copenhagen (ku.dk)
Other external students:
http://healthsciences.ku.dk/education/student-mobility/guest-students/
Credit transfer and other external students are welcomed on the course if there are seats available and they have the academic qualifications.
- ECTS
- 7,5 ECTS
- Type of assessment
-
Written examination, 3 hours under invigilation
- Type of assessment details
- Examiners: Course teachers
- Aid
- Written aids allowed
Permitted aids: Textbooks, all written course material from the homepage.
There is access to the following at the exam in KUs exam houses:
- R – Statistical programme
- MathType formel programme
- Maple
-
Digital Notes (It is allowed to upload notes for the ITX exam via digital exam. You will find a link to this feature from your exam in Digital Exam).
Find more information about written on-site exams in the exam rooms, incl. information about standard programs on the exam PCs at KUnet: MSc in Quantitative Biology and Disease Modelling - KUnet
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Criteria for exam assessment
To achieve the grade 12 the student must be able to:
Knowledge
- demonstrate knowledge of pharmacokinetic (PK) and pharmacodynamic (PD) in the individual as well as the population
- understand how to calculate PK and PD parameters and use them in a quantitative description of the interaction between a drug and the body over time.
- obtain knowledge on variability in patient populations
Skills
- obtain insight and hands-on experience with pharmacokinetic and –dynamic data analysis, based on different examples of plasma concentration-time course linked to therapeutic response.
- obtain experience with the modelling software Phoenix WinNonlin and Microsoft Excel for data analysis.
- apply knowledge on variability in patient populations to a PKPD analysis that can be used to describe variability in response in different patient segments and in drug research and illustrate development within the pharmaceutical industry.
Competences
- design dosing strategies in different clinical situations based on their knowledge about PKPD (e.g. taking variations such as demographics, organfunction, pharmacogenetics, comobidity and interactions into account).
- design experiments for the drug research and development based on their knowledge about PKPD
Single subject courses (day)
- Category
- Hours
- Lectures
- 20
- Preparation
- 167
- Theory exercises
- 16
- Exam
- 3
- English
- 206
Kursusinformation
- Language
- English
- Course number
- SKBK18001U
- ECTS
- 7,5 ECTS
- Programme level
- Full Degree Master
Full Degree Master choice
- Duration
-
1 semester
- Placement
- Autumn
OBS! Kurset udbydes i blok 1, da det samlæses med andre uddannelser
- Schedulegroup
-
A
- Capacity
- 54 students: 20 seats reserved Students studying the MSc Programme in Quantitative Biology and Disease Modelling - the Technological Specialization.
- Studyboard
- Study board from DTU
Contracting department
- Department of Drug Design and Pharmacology
Contracting faculty
- Faculty of Health and Medical Sciences
Course Coordinator
- Trine Meldgaard Lund (10-7d7b72776e37757e776d497c7e776d37747e376d74)
Teacher
Trine Meldgaard Lund
Eva Sverrisdóttir
Majid Sheykhzade
Uffe Kristiansen
Er du BA- eller KA-studerende?
Kursusinformation for indskrevne studerende