Introduction/Objectives: The generation of Virtual Patients (VPs) is a common task in Quantitative System Pharmacology (QSP). In the most classical…
Read morePoster: Methodology - New Modelling Approaches
A method to estimate probability of disease and vaccine efficacy from clinical trial immunogenicity data
Introduction: Protective efficacy of a vaccine is defined as the proportional reduction in risk of disease among vaccinated subjects compared…
Read moreSurvival Model-based Meta-Analysis Framework for the Indirect Comparison of Anti-Cancer Therapy Efficacy
Introduction: Overall Survival (OS) is a gold standard clinical endpoint to assess efficacy of anticancer therapies. However, direct comparison of…
Read moreValidation of a Semi-mechanistic model with first-pass metabolism, two metabolic pathways and intestinal efflux transporter implemented in PhysPK biosimulation software.
Objectives: The aim of this work is to validate model predictions from PhysPK biosimulation software using a previously published semi-mechanistic…
Read moreThe dynamics of pharmacological effects aimed at gut wall: A framework for a nested-target-within-enterocyte (NTWE) model that accounts for turnover of target and cell
Introduction: The gastrointestinal (GI) tract has been the focus of several potential therapeutic target linked to metabolic diseases, cancer, inflammatory…
Read moreStatistical interaction modeling in non-linear mixed effect models: a case study in neonatal pharmacology
Introduction Covariate analysis is a crucial step in nonlinear mixed-effects (NLME) modeling to enable individualized dose and treatment optimization. Covariates…
Read moreHierarchical group LASSO with random effects: identification of high-dimensional omics-drug interactions predictive of treatment response in patient-derived tumor growth data
Objectives: High-dimensional molecular profiling technologies (‘omics’) including genomics and transcriptomics are rapidly emerging as promising approach to personalize drug treatments….
Read moreModeling (a)symmetry of concentration-effect curves
Introduction: An important topic in quantitative pharmacology is modeling the shape of concentration- effect (E/[A]) curves, which relate the concentration…
Read moreNeural Ordinary Differential Equations for Tumor Dynamics Modeling and Overall Survival Predictions
Introduction: Tumor dynamic modeling has been widely adopted in supporting the development of oncology drugs. While the existing Tumor Growth…
Read morePharmacokinetic Model Based on Stochastic Simulation and Estimation for Therapeutic Drug Monitoring of Tacrolimus in Korean Adult Transplant Recipients
Objectives: Tacrolimus shows high variability in inter- and intra-individual pharmacokinetics (PK); therefore, it is important to develop an appropriate model…
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