Lecture: Pharmacokinetic Parameters & Pharmacokinetics Data

This lecture covers key pharmacokinetic parameters, their derivation from concentration-time data, and their role in linking dose, exposure, and elimination, while also highlighting the importance of PK databases, data quality, and interindividual variability in model development.

Learning Objectives

The main learning objectives are

• 🎯 Understand key pharmacokinetic parameters: clearance (CL), volume of distribution (Vd), half-life (t₁/₂), bioavailability (F), and AUC.
• 🎯 Learn how these parameters are derived from concentration-time data.
• 🎯 Understand the relationship between dose, exposure, and elimination.
• 🎯 Get an overview of the PK database (e.g., PK-DB) and their role in model development and data integration.
• 🎯 Understand the importance of data quality, standardization, and metadata in PK modeling.
• 🎯 Explore interindividual variability in pharmacokinetic parameters.

Lecture

Download: L06_Koenig_MB19_Pharmacokinetic.Parameters.Data.pdf