Thursday 7 May, 2026
Introduction: Automated structural model building has previously been explored, including a systematic comparison of six algorithms across simulation studies and…
Read morePoster: Methodology – AI/Machine Learning
PRIOR-FITTED AMORTIZED GENERATIVE NEURAL NETWORKS MODELS FOR POPULATION PHARMACOKINETICS
Thursday 7 May, 2026
Objectives Nonlinear mixed-effects (NLME) modelling [1] is the established population approach for pharmacokinetics (PK) and has been highly successful in…
Read moreNoLimits.jl: A flexible Julia framework for nonlinear, neural and latent-state mixed-effects modeling
Thursday 7 May, 2026
Introduction/Objectives Hidden Markov models (HMMs) are increasingly applied in pharmacometric disease progression modeling to represent latent disease states and transitions…
Read moreEXPLAINABLE DEEP WEIBULL SURVIVAL MODELING FOR PREDICTING TIME TO COGNITIVE IMPAIRMENT IN OLDER ADULTS
Thursday 7 May, 2026
Objectives: The primary objective of this study was to develop an Explainable Deep Survival Analysis framework that predicts the progression…
Read moreSimurg ecosystem: a zero-coding agent-driven infrastructure for quantitative pharmacology and MID3 applications
Thursday 7 May, 2026
Introduction Pharmacometrics analyses typically require modelers to apply multiple methodologically distinct functions across diverse tools and environments, prompting substantial reformatting…
Read moreNext-Generation Pharmacometric Modeling Using Variational Autoencoders
Thursday 7 May, 2026
Objectives Accurate pharmacometrics (PMX) modeling is essential for optimizing drug therapy and understand-ing patient variability. Nonlinear mixed-effect (NLME) models are…
Read moreAssessment of neural ODEs for modeling of longitudinal adverse events data and predictions of new treatment regimens
Thursday 7 May, 2026
Objectives: Neural ODEs-based models [1] constitute a novel tool for PKPD modelling that utilize neural networks to describe longitudinal data…
Read moreLatent Neural-ODE for Model-Informed Precision Dosing: Overcoming Structural Assumptions in Pharmacokinetics
Thursday 7 May, 2026
Introduction & Objectives Model-Informed Precision Dosing of drugs with a narrow therapeutic index, such as tacrolimus, routinely relies on estimating…
Read morePrediction of Myotoxicity, Nephrotoxicity, and Hepatotoxicity Among Patients Receiving Lipid-Lowering Agents: A FAERS-Based Pharmacovigilance Study
Thursday 7 May, 2026
Introduction / Objectives Using data from the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS), a comprehensive assessment…
Read moreEfficient generation of virtual populations using machine learning in R
Thursday 7 May, 2026
Introduction In recent years, several approaches to data synthesis have been proposed that can be used for generating virtual populations…
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