The aims of this webinar are firstly to raise awareness among kineticists and pharmacologists as to why Machine Learning in pharmacokinetic–pharmacodynamic (PKPD) analyses is essential for optimal assessment of both preclinical and clinical data. A related aim is to demonstrate strategic examples of PKPD analyses that have improved the execution and evaluation of experimental data. Examples include ML analysis of a Phase I study and assessment of uncertainties in model predictions