| B-06 Sam Richardson Automating Population Pharmacokinetic Model Development using Machine Learning Wednesday 9:20-9:40 |
| B-07 Gilbert Koch Learning from machine learning - how to deduce a mechanism-based pharmacometrics model for serum creatinine in preterm neonates from neural ordinary differential equations Wednesday 9:40-10:00 |
| C-09 Sandrine Boulet Bayesian framework for multi-source data integration - application to Human extrapolation from preclinical studies Thursday 11:40-12:00 |
| C-20 Nelleke Snelder Time-varying covariates, mediation analysis and overadjustment bias in PK/PD modelling Thursday 16:50-17:10 |
| D-09 Elisabeth Rouits Incorporating clinical utility and Pharmacokinetics (PK)/Pharmacodynamics (PD) in clinical development of oncology drug candidate with a Bayesian decision analysis perspective in the context of OPTIMUS initiative Friday 11:25-11:45 |
