21 – 24 October 2019, Leiden University
With population pharmacokinetic (PK) modeling we describe the concentration-time profiles drugs. An important aspect of population PK modeling is identifying sources of variability between individuals of a population and quantifying this inter-individual variability. In a subsequent covariate analysis, potential patient and treatment characteristics that can explain (part of) the inter-individual variability are investigated. Once we have a population PK model that can describe and predict both general trends in the PK of drugs and individual deviations from those trends, we can use model-based simulations to optimize drug dosing. With the simulations, we can identify characteristics that can put patients at risk for overdosing, leading to undesired side-effects, or underdosing, leading to therapy failure. The model-based simulations can then be used to individualize drug dosing recommendations for these patients based on their characteristics.
This course of 3.5 days, provides an introduction to the theoretical basis of population modelling as well as hands-on exercises to familiarize yourself with NONMEM software and Pirana/PsN. More information can be found here.
Who should attend: Researchers (postgraduate level) who want to obtain basic knowledge and skills regarding population pharmacokinetic analyses with NONMEM.
More information on the course fee and registration can be found in this document.