| II-74 Julie Dudasova A method to estimate probability of disease and vaccine efficacy from clinical trial immunogenicity data |
| II-75 Undine Falkenhagen Reducing QSP models to derive mechanism-based PD models: warfarin-INR as an example |
| II-76 Sergey Gavrilov Survival Model-based Meta-Analysis Framework for the Indirect Comparison of Anti-Cancer Therapy Efficacy |
| II-77 Mohamed Gewily Model Averaging Across Parametric and Non-Parametric Methods as an Aid for Clinical Decision Making |
| II-78 Elham Haem Comparison of the power and type-1 error of composite score models for drug effect detection in clinical trials |
| II-79 Vincent Hurez Development of a systemic lupus erythematosus (SLE) QSP model linking systemic biomarkers to cutaneous clinical score (CLASI) outcomes. |
| II-80 Mutaz Jaber Investigating Components of Residual Unexplained Variability in Nonlinear Mixed-Effect Modeling |
| II-81 Daniel Kaschek Crossing borders from mechanistic QSP to clinical population modeling |
| II-82 Aurélie Lereclus Lithium pharmacometrics: review of population pharmacokinetics models, external evaluation using non compartmental literature data and model’s updating based on straightforward integration of glomerular filtration rate. |
| II-83 Klaus Lindauer Evaluation of random forest as an approach for covariate selection |
| II-84 Dan Lu Machine and deep learning approaches for disease progression modeling: illustration with geographic atrophy |
| II-85 Moustafa M. A. Ibrahim Enhancing Efficiency and Decision Quality in Parkinson’s Disease Drug Trials for LRRK2 Programs Using Item Response Modelling |
| II-86 Rikard Nordgren Pharmpy and assemblerr - Two novel tools to simplify the model building process in NONMEM |
| II-87 Raman Sharma A probabilistic approach to calculating probability of achieving target pharmacological effect levels for a novel orally administered antibacterial chemotherapeutic |
| II-89 Gustaf Wellhagen Item Response Theory-Informed Total Score Analysis |
| II-90 Xiao Zhu Positive allosteric modulators - a challenge for development of QSP models |
