| B-16 Alexander Janssen The Neural Mixed Effects algorithm: leveraging machine learning for pharmacokinetic modelling Friday 17:00-17:20 |
| B-17 James Lu Deep Learning for PK/PD and Disease Progression Time-Course Predictions using Neural-ODE Friday 17:20-17:40 |
| C-18 Estelle Yau A systematic framework for the incorporation of preclinical species data into physiologically-based pharmacokinetic models using a middle-out approach to improve the translation of drug distribution in humans Monday 17:25-17:45 |
| D-03 Carolina Llanos-Paez Use of item-based non-linear mixed effects model to improve confidence in Phase III clinical trial decision-making Tuesday 13:00-13:20 |
| D-04 Iris Minichmayr Beyond disease progression – Item response theory modelling to gain structural insights into disease facets underlying clinical score assessments Tuesday 13:20-13:40 |
