Thursday 7 May, 2026
Objective: Population pharmacokinetic (PopPK) models describe the changes in drug concentration across diverse patient populations, leveraging covariate effects using a…
Read morePoster: Methodology – AI/Machine Learning
Preclinical and clinical pharmacokinetic prediction via Machine Learning
Thursday 7 May, 2026
Objectives Reliably assessing pharmacokinetics (PK) as early as possible in the R&D pipeline can potentially reduce animal studies, accelerate timelines…
Read moreACTIVE LEARNING WITH BAYESIAN OPTIMIZATION FOR EFFICIENT VIRTUAL POPULATION GENERATION USING QUANTITATIVE SYSTEMS PHARMACOLOGY MODELS
Thursday 7 May, 2026
Objectives: Virtual population generation requires identifying feasible parameter combinations that produce physiologically realistic model outputs. Random sampling scales poorly with…
Read moreMACHINE LEARNING-BASED COVARIATE SELECTION IN POPULATION PHARMACOKINETICS: A SYSTEMATIC EVALUATION OF BORUTA ALGORITHM WITH TREE-BASED METHODS AGAINST SCM+
Thursday 7 May, 2026
Introduction Stepwise covariate modeling (SCM) [1] is the most widely used method for covariate selection. An improved version (called SCM+)…
Read moreMULTIDIMENSIONAL SCALING FOR LONGITUDINAL DATA EMBEDDINGS IN PHARMACOMETRICS
Thursday 7 May, 2026
Introduction/Objectives: Longitudinal data in pharmacometrics typically involves multiple time-varying inputs and outputs for each subject in a population. Each subject…
Read moreMODEL-INFORMED REINFORCEMENT LEARNING FOR PRECISION DOSING OF CARBOPLATIN
Thursday 7 May, 2026
Background: Precision dosing refers to tailoring drug doses to individual patient characteristics to maximize the efficacy-safety balance [1]. Adaptive dosing…
Read moreThe hybrid AI/ML – Pharmacometrics Communications Cheat Sheet
Thursday 7 May, 2026
Objectives Hybrid AI/ML-pharmacometrics approaches are increasingly discussed for drug development [1], but productive collaboration is often slowed by terminology gaps…
Read moreInterpretable Deep Learning Survival Analysis of Alzheimer’s Disease Using Genetic Variants Associated with Metabolic Disorders
Thursday 7 May, 2026
Objectives: Alzheimer’s disease (AD) is a progressive and multifactorial neurodegenerative disorder resulting from a highly complex interplay of genetic and…
Read moreAutomating Literature-Based Workflows with Delineate: From Evidence Synthesis to Model Reuse
Thursday 7 May, 2026
Objectives: Literature-based workflows are integral to drug development research, yet remain largely manual and resource-intensive. These workflows encompass a broad…
Read moreAutomating Tumor Dynamics model discovery with Large Language Models
Thursday 7 May, 2026
BACKGROUND: Structural model selection for Tumor Dynamics (TD, or Tumor Growth Inhibition, TGI) is traditionally time-consuming and expert-driven, requiring iterative…
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