Introduction: Physiologically based pharmacokinetic (PBPK) models are becoming increasingly important in drug development, particularly for the assessment of drug-drug interactions…
Read morePoster: Methodology - New Modelling Approaches
{jmpost}: An R package for Bayesian joint TGI-OS models
Introduction/Objectives: Clinical trials gather repeated measurements on endogenous markers of disease progression and on time to events, such as treatment…
Read moreStepwise Covariate Modeling Acceleration Using Individual Uncertainty Adjusted Linear Covariate Screening Methods
Introduction: Stepwise covariate modeling (SCM) offers an automated, data-driven approach for covariate model selection via forward inclusion and backward elimination…
Read moreEfficient exposure-response analysis for time-to-event endpoints: beyond the use of time-static exposure metrics
Introduction: Analyzing exposure–response (E-R) relationships for time-to-event (TTE) endpoints is an important part of model-informed drug development. Though exposure often…
Read moreAutoML and Residual Error Meta-Modeling in Model-Informed Drug Development: A Case Study of Pharmaceutical Pellets.
Introduction: This study focuses on developing a predictive framework that leverages prior knowledge to predict and optimize key quality attributes…
Read moreTowards a translational QSP modeling approach to predict bone marrow toxicity
Introduction: Myelosuppression is a dose-limiting adverse event frequently associated with chemotherapeutic drugs, often leading to treatment interruption or discontinuation. Current…
Read moreUsing a smoother approach IMPRES-M to estimate parameters of biomarkers in multi-layered turnover networks
Introduction Turnover systems can carry the dynamic response of biomarkers to a drug. Specifically, the production and elimination of the…
Read moreA pipeline for generating large virtual dog populations to predict preclinical drug-induced liver injuryÂ
Introduction: Physiologically Based Pharmacokinetic (PBPK) and Quantitative Systems Pharmacology (QSP) models have become increasingly valuable in drug development ([1], [2])….
Read moreOn the coupling between a basic FcRn mechanism and target-mediated drug disposition of antibodies—an asymptotic analysis in the high binding affinity limit
Introduction Antibody pharmacokinetics (PK) is typically governed by two key mechanisms: non-specific endosomal clearance modulated by neonatal Fc receptors (FcRn)…
Read moreA simulation-based evaluation of a hidden Markov model to characterize disease transitions using frequently sampled spirometry data
Introduction: Hidden Markov models (HMM) have previously been used to describe disease dynamics characterized by a set of discrete states…
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