Thursday 16 October, 2025
Objectives: Obtaining a good prior for the linear PK part of new monoclonal antibodies (mAb) is essential for designing first-in-man…
Read moreOral: Methodology - New Modelling Approaches
Coping with Time Scales in Disease Systems Analysis: Application to Bone Remodelling
Thursday 16 October, 2025
Objectives: Models characterizing the dynamic behaviour of disease systems as well as the impact of therapeutic interventions can be established…
Read moreAnalysis of individual target lesions for tumor size models of drug resistance: a new methodology encompassing signal processing and machine learning
Thursday 16 October, 2025
Objectives: Exploratory data analysis is a fundamental step in the model development effort. It becomes even more relevant when, for developing…
Read morePower assessment for hierarchical combination endpoints using joint modelling of repeated time-to-event and time-to-event models versus Finkelstein-Schoenfeld method
Thursday 16 October, 2025
Objectives: Cardiovascular (CV) clinical trials often assess therapeutic benefit based on a survival event such as death. Additional reportable clinical outcomes…
Read moreN-dimensional Likelihood Profiling: An Efficient Alternative to Bootstrap
Thursday 16 October, 2025
Objectives: Bootstrap is the reference method for obtaining robust estimates of the confidence intervals (CI) of model parameters and simulation…
Read moreNovel Hybrid Artificial Neural Network-Nonlinear Mixed Effect Model Modeling Approach for Population Data Analysis in Model-based Drug Development
Thursday 16 October, 2025
Background and Objectives: A potential limitation of current model-based drug development (MBDD) approach is that integration of the knowledge from…
Read moreLearning from machine learning – how to deduce a mechanism-based pharmacometrics model for serum creatinine in preterm neonates from neural ordinary differential equations
Thursday 16 October, 2025
Objectives: Machine learning (ML) is an emerging field in pharmacometrics (PMX) [1], providing methods for a variety of PMX tasks,…
Read moreModeling of delayed phenomena in PKPD by delay differential equations of lifespan type
Thursday 16 October, 2025
Objectives: Delayed phenomena are common in PKPD modeling. Traditionally, transit compartments (TC) based on ordinary differential equations (ODE) are applied…
Read moreFull Covariate Models as an Alternative to Methods Relying on Statistical Significance for Inferences about Covariate Effects: A Review of Methodology and 42 Case Studies.
Thursday 16 October, 2025
Objectives: Covariate (COVT) modeling in population (POP) pharmacokinetics (PK) and pharmacodynamics (PD) has historically been characterized by stepwise hypotheses testing…
Read morePopulation model-enhanced reinforcement learning to enable precision dosing: case study with dosing of propofol for sedation
Thursday 16 October, 2025
Objectives: Precision dosing is a key enabler for precision medicine by taking each patient and their disease’s individual characteristics into…
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