Thursday 7 May, 2026
Objectives Intranasal delivery enables rapid systemic exposure, avoids hepatic first-pass metabolism, and can improve tolerability relative to oral and parenteral…
Read morePoster: Methodology - New Modelling Approaches
Model Ensembling and Machine Learning Approaches to Predict the First Dose of Amoxicillin in Intensive Care
Thursday 7 May, 2026
Introduction A priori model-informed precision dosing (MIPD) is a method to recommend an appropriate first dose based solely on the…
Read moreQUANTITATIVE MAPPING OF FUNCTIONAL CYTOCHROME P450 ACTIVITIES IN ZEBRAFISH EMBRYOS: INTEGRATING PARENT-METABOLITE DATA VIA TOXICOKINETIC MODELING IN NAMS
Thursday 7 May, 2026
Objectives: Genetic homology between zebrafish and human cytochrome P450 (CYP) enzymes has been extensively reported. However, genetic similarity does not…
Read moreQPC: Predicting Human Interpretation of VPC Plots
Thursday 7 May, 2026
Objectives: Assess the predictive power of the Quantitative Predictive Check (QPC) as a metric of VPC quality. Methods: QPC is…
Read moreMechanistic PK/PD Modeling Framework for Targeted Covalent Inhibitors: Applications to Guide Lead Optimization, Inform Study Design, and Predict in vivo Efficacy
Thursday 7 May, 2026
Introduction Targeted covalent inhibitors (TCIs) are a therapeutic modality which currently attracts much attention, especially in oncology drug discovery and…
Read moreNo One-Size-Fits-All: A Multi-Model Evaluation of Optimization-Based and Surrogate-Assisted Virtual Population Generation in QSP
Thursday 7 May, 2026
Background Quantitative systems pharmacology (QSP) models increasingly support clinical decision-making by integrating mechanistic knowledge with heterogeneous experimental data. Sparse population-level…
Read moreA Generative AI approach for reconstructing synthetic data cohorts for MBMA.
Thursday 7 May, 2026
1. INTRODUCTION Pharmacokinetics-Pharmacodynamics (PK/PD) data analysis is a cornerstone of both drug development and efficacy and safety studies. However, individual-level…
Read moreCOMPARISON OF MACHINE LEARNING ALGORITHMS FOR RAPID COMPARTMENTAL MDOEL SELECTION
Thursday 7 May, 2026
Introduction: Automated pharmacokinetic (PK) model building has been explored since 2006, when Bies et al. proposed using a Genetic Algorithm…
Read moreA Generic IgG Pharmacokinetic Model Applied to Adalimumab and Extended to Capture Anti-Drug Antibody effects
Thursday 7 May, 2026
Introduction: Therapeutic monoclonal antibodies (mAb) share a high similarity in physiological and pharmacokinetic (PK) properties, suggesting that an underlying generic…
Read moreCVAE–LASSO: INTEGRATED L1-REGULARIZED COVARIATE SELECTION WITHIN A CONDITIONAL LATENT FRAMEWORK FOR POPULATION PHARMACOKINETIC MODELLING
Thursday 7 May, 2026
Objectives: Population pharmacokinetic (PopPK) modelling is central to quantify inter-individual variability and identify covariates driving drug exposure, supporting individualized dosing…
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