Thursday 7 May, 2026
Objectives: Model-Informed Precision Dosing (MIPD) leverages population pharmacokinetic (PK) models to predict optimal dose adjustments that incorporate patient covariates to…
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ConstrainNODE-PK: Constrained neural impulse-response population PK for trial simulation and regimen transfer without compartmental selection
Thursday 7 May, 2026
Objectives: Machine-learning (ML) models are increasingly proposed as rapid, automated alternatives to nonlinear mixed-effects (NLME) pharmacokinetic (PK) modelling. However, many…
Read moreRegularized estimation in high-dimensional mechanistic models: application to vaccine development
Thursday 7 May, 2026
Objectives : Mechanistic models are widely used to describe and explain biological processes over time [1]. However, they typically rely…
Read moreIdentifiability-aware variational autoencoder for inference of NONLINEAR mixed effect models based on ordinary differential equations
Thursday 7 May, 2026
Objectives: We propose NN-NLME, a variational autoencoder framework for identifiability-aware parameter estimation with uncertainty quantification in nonlinear mixed-effects models governed…
Read moreEarly go/no-go decisions in clinical trials using a DeepNLME joint tumor growth dynamics and overall survival model
Thursday 7 May, 2026
Introduction/Objectives: Overall survival (OS) endpoints in oncology clinical trials require prolonged follow-up, delaying critical go/no-go decisions. Early tumor growth dynamics…
Read moreHigh-dimension Mechanistic Model Building using LASSO Approaches : Application to Ebola Vaccination
Thursday 16 October, 2025
Introduction Constructing non-linear mixed-effects models (NLMEM) can significantly enhance our understanding of biological processes. In the population approach, NLMEM combine…
Read morePMx-AI Bot: Changing the way of traditional Pharmacometrics work with AI Bots
Thursday 16 October, 2025
Objectives: The burgeoning influence of artificial intelligence (AI) is revolutionizing the field of pharmacometrics. This transformation is not only due…
Read moreImproving simulations by learning the true random effects’ distribution from a population using generative machine learning
Thursday 16 October, 2025
Objectives: Non-linear mixed effects (NLME) modelling aims to estimate the population-level parameters and the distribution of individual-level parameters (random effects,…
Read moreDevelopment and exploration of exhaustive, stepwise, and heuristic algorithms for automated population pharmacokinetic modelling
Thursday 16 October, 2025
Objectives: Automated population pharmacokinetic modelling tools are currently being investigated. The genetic algorithm (GA) has been proposed to address pharmacometric…
Read moreMultivariate Exact Discrepancy : a new tool for PK/PD model evaluation
Thursday 16 October, 2025
Objectives: The criteria used to validate pharmacokinetic model can be grouped into two families. The first family comprises metrics based…
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