INTRODUCTION/OBJECTIVES While NONMEM offers great flexibility for estimation of PK and PK/PD models, many users find the simulation features in…
Read morePoster: Methodology - New Modelling Approaches
Announcement of Machine Learning Benchmarking
Objectives: 1.Provide an objective structure to assess the performance of machine learning (ML) model selection methods, in a way relevant…
Read moreModel reductions of a physiologically-based pharmacokinetic model for intestinal and hepatic first pass metabolism: towards derivation of a generalized bioavailability model using midazolam as case example
Introduction: Physiologically-based pharmacokinetic (PBPK) models are powerful tools for predicting drug absorption, distribution, metabolism, and excretion [1]. A key aspect…
Read moreIntegrating an Agent-Based Immune Model with PBPK/PKPD to Simulate Antitubercular Treatment in Humans
Introduction: The primary objective of this investigation was to integrate a well-established agent-based model (ABM) of the immune response (C-ImmSim,…
Read moreFrom standard to high-dimensional covariate model building: assessing covariate clinical relevance determination using covariate selection approaches (SCM, SCM+) and full modeling methods (FFEM, FREM) in population PK analyses
Objectives Covariate analysis is key in population PK modeling to identify and quantify variability between individuals and guide dose adjustments,…
Read moreImplementation and comparison of six algorithms for automated model building in Monolix: two simulation studies and ten applications
Introduction: Automated model building is not a new subject, and indeed Bies et al. already proposed a Genetic Algorithm (GA)…
Read moreMeta-based External Validation Through Model Integration Incorporated Prior Information: Application of Tenofovir Alafenamide and Tenofovir
Objectives: Model external validation has been restricted by the limitation of limited datasets, so it has emerged as an alternative…
Read moreData-Driven Approach to Covariate Selection in PopPK: Integrating Variational Autoencoders (VAE) and LASSO Regression
Introduction / Objectives: Population pharmacokinetic (PopPK) modeling plays a pivotal role in understanding drug behaviour and variability across diverse patient…
Read moreA modified Bayesian information criterion (mBIC) with multiple testing correction for population pharmacokinetic model building
Multiple testing (or multiplicity) is a well-recognized problem in statistics, which occurs when multiple hypothesis tests are performed simultaneously on…
Read morePrediction of Drug-Induced Hematotoxicity by an Integrated Clinical-Experimental-Computational Human Hematopoiesis Systems Toxicology Model
Introduction: New Biological Entities (NBE), such as antibody-based biologics, have revolutionized the treatment of many neoplastic and inflammatory diseases over…
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