Thursday 16 October, 2025
Objectives: Interoccasion (IOV) variability, also known as the variability that accounts for the changes in individual pharmacokinetic (PK) parameters between…
Read morePoster: Methodology - Estimation Methods
Comparison of performances of the open-source R package “nlmixr” vs. Monolix for population pharmacokinetics of continuous infusion meropenem in patients with onco-hematological malignancies
Thursday 16 October, 2025
Introduction Meropenem is a carbapenem used for empirical escalation therapy of onco-hematological patients with febrile neutropenia who are at risk…
Read moreIntegrating Python optimization algorithms inside PhysPK® (PK/PD/PBPK) software for improving PK estimation methods.
Thursday 16 October, 2025
Introduction/Objectives: Characterization of the pharmacokinetics (PK) and pharmacodynamics (PD) of a drug product through mathematical modelling approaches of the relationships…
Read moreComparing full Bayesian estimation to maximum a posteriori (MAP) Bayesian estimation in three routine clinical care scenarios
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 moreImpact 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…
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