Thursday 16 October, 2025
Objectives: Model-informed precision dosing (MIPD) combines prior knowledge about drug pharmacokinetics/pharmacodynamics (PK/PD) with patient data to predict the likelihood of…
Read morePoster: Methodology - Estimation Methods
Impact of sampling procedure on individual pharmacokinetic parameter estimation methods
Thursday 16 October, 2025
Objectives: Therapeutic drug monitoring represents one of the main applications of pharmacometrics in the clinical setting. Bayesian approaches are routinely…
Read moreSimple and illustrative model to study Bayesian hierarchical modelling approaches for continued learning in model-informed precision dosing
Thursday 16 October, 2025
Introduction: In model-informed precision dosing, PK/PD models are used to predict therapy outcomes based on patient characteristics and data from…
Read moreA fully hierarchical Bayesian approach to sequentially update population parameter uncertainty in MIPD
Thursday 16 October, 2025
Introduction: In model-informed precision dosing (MIPD), PK/PD models are used to predict therapy outcome based on patient characteristics and data…
Read moreMarginal No-U-Turn Sampler for Bayesian Analysis in Pharmacometrics
Thursday 16 October, 2025
Objectives: The number of parameters in hierarchical models increases with the number of sub-groups. In pharmacometrics, each sub-group is a…
Read moreSolving ODEs in a Bayesian context: challenges and opportunities
Thursday 16 October, 2025
Introduction: Doing full Bayesian inference on ODE-based pharmacometrics models is known to be computationally intensive, although the exact nature of…
Read moreAn Algorithm to Generate Virtual Patients Cohort for a Model of Solid Tumor Treatment
Thursday 16 October, 2025
Introduction: Conventional QSP modelling approach implies fitting a model to series of mean data values, thus obtaining parameters’ values, which…
Read moreSAEM in Pumas – A systematic evaluation and benchmarking
Thursday 16 October, 2025
Objectives: Stochastic Approximation Expectation Maximization (SAEM) is a robust algorithm for fitting Non-Linear Mixed Effects (NLME) models. Pumas 2.0 introduces SAEM…
Read moreParameter estimation in nonlinear fixed-effects QSP models: benchmark of optimization methods
Thursday 16 October, 2025
Objectives: Robust and efficient parameter estimation is one of the key steps in quantitative systems pharmacology (QSP) model development. The problem…
Read moreImplementation of Estimation Step Refinements to Support Runtime Reduction for Model Building in NONMEM® 7
Thursday 16 October, 2025
Introduction: Overall, as pharmacometrics advances as a powerful computational tool, model complexity describing biological systems has also increased. Computer runtime…
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