Pharmacokinetic (PK) and pharmacodynamic (PD) studies are imperative to the development of new medicines and essential in ensuring early access to medications for special populations, such as pregnant women and children. These studies allow for preliminary safety assessments, finding the appropriate dose, and evaluation of drug-drug interactions. You will gain a better understanding of how to design a pharmacokinetic/pharmacodynamic study, how to analyse pharmacology data, and how to interpret the data.
This course is designed for PhD students, young researchers (from low- and middle-income countries) and Clinical Pharmacology fellows eager to increase their knowledge on PK/PD research. In addition, the course is available for (post)graduates and professionals working in hospitals, universities, NGOs, industry, governments and have a background in medical sciences (e.g. Pharmacy, Medicine, Biomedical Sciences, or Toxicology), who have an interest in conducting PK/PD research.
After this course you are able to:
1. Demonstrate a comprehensive knowledge of all fields relevant to pharmacokinetic research, understand the role of bioanalytics in PK research, and interpret and critically evaluate PK studies.
2. Describe the differences between bottom-up and top-down approaches in PK modelling, perform a physiologically-based PK modelling simulation, understand to what extent pharmacokinetics parameters can predict the pharmacodynamic properties of a drug.
3. Design a non-compartmental PK study, understand how to calculate bioequivalence, and how to derive relevant pharmacokinetic parameters answering your research question.
4. Comprehend clinical implementation of pharmacokinetics and how this can contribute to drug dosing in various populations and assessment of drug-drug interactions.
EUR 200: Full online course
EUR 75: Fee for participants from low and middle income countries. Please indicate in your motivation letter that you are eligible for a reduced fee and confirm your country of residence.
€170 partner + RU discount (15%)
€150 early bird + partner + RU discount (25%)
For more information click "LINK TO ORIGINAL" below.