Abstracts - PAGE Meeting (Population Approach Group Europe)

Abstracts (24)

I-022Anastasiia Bakhmach

A benchmark of machine learning feature selection methods for stable identification of biomarkers of resistance to immunotherapy in lung cancer

Wednesday 10:30-12:00

I-044Dominic Bräm

pmxNODE: A novel R-package to make low-dimensional NODEs available in Monolix, NONMEM, and nlmixr2

Wednesday 10:30-12:00

I-071Henrik Cordes

Towards pharmacokinetic profile prediction of sequence-based pharmaceuticals with machine learning

Wednesday 10:30-12:00

II-002Undine Falkenhagen

qPnoMAD: A Residual-Trend-Based, ML-Guided Tool for Automated PopPK Model Development

Wednesday 15:30-17:00

II-008Alex Foster-powell

Translatability of animal models for Alzheimer’s disease using a machine learning based workflow

Wednesday 15:30-17:00

II-009Masato Fukae

Assessment of the predictive performance of DeepNLME for a typical population pharmacokinetics: a simulation study and a case study with data from a first-in-human study of DS-8500

Wednesday 15:30-17:00

II-017Dr Shadi Ghiasi

Artificial intelligence-based flare prediction in patients with Systemic Lupus Erythematosus (SLE): leveraging seven SLE clinical trial data from TransCelerate.

Wednesday 15:30-17:00

II-060Felix Jost

It’s a match! Machine learning & compartmental modeling for early PK predictions

Wednesday 15:30-17:00

III-002Klaus Lindauer

Application of neural ordinary differential equations (neural-ODE) framework to predict unknown exposure profile in first-in-human (FIH) single ascending trial: comparative analysis with observed data

Thursday 9:50-11:45

III-013Sreenath M Krishnan

A Neural ODE-Based Framework for Modeling Delayed and Multi-Phase Drug Absorption

Thursday 9:50-11:45

III-042Claudio Monteiro

AI-Driven Import of Pharmacometric Models into the Jinko Platform for Enhanced Reusability and Clinical Insight

Thursday 9:50-11:45

III-045Adam Nasim

PKPD Vs AI for Preclinical tumour Xenograft Extrapolation

Thursday 9:50-11:45

III-046Imran Nasim

Towards a Diffusion Based Virtual Subject Generator

Thursday 9:50-11:45

III-061Conor O'Hanlon

Pharmacokinetic-Pharmacodynamic informed labelling for Machine Learning classification tasks: predicting severe neutropenia using Real World Data

Thursday 9:50-11:45

III-103Francois Riglet

Assessment and development of Machine Learning (ML) methods for covariate model selection in population pharmacokinetics (PopPK) modeling

Thursday 9:50-11:45

III-111M Ruppert

Performance of Neural Ordinary Differential Equations in a multiple dose pharmacometrics setting

Thursday 9:50-11:45

III-114Anuraag Saini

QSP-Copilot: A GenAI-Powered Multi-Agent System for Accelerating QSP Model Development

Thursday 9:50-11:45

IV-003Sergio Sánchez Herrero

A Novel Approach to Drug Release Dose Optimization using PhysPK® and Machine Learning

Thursday 15:00-16:45

IV-015Verena Schöning

Simulation of virtual pharmacometric patient profiles using generative artificial intelligence

Thursday 15:00-16:45

IV-027Sofia Stathopoulos

Integrating PKPD and disease progression machine learning models for predicting late phase study outcome based on early phase biomarker data – an oncology example on the InSilicoTrials’ simulation platform

Thursday 15:00-16:45

IV-051Periklis Tsiros

Modelling Pharmacokinetic Variability with Physics-Informed Neural Networks

Thursday 15:00-16:45

IV-058Diego Valderrama

Innovative Multimodal Neural ODE Modelling for Predicting Clinical Outcomes and Understanding Drug Treatment Effects in Inflammatory Bowel Disease

Thursday 15:00-16:45

IV-075Marco Virgolin

Optimal Sampling Design of Clinical Trials Using Multi-Objective Genetic Algorithms

Thursday 15:00-16:45

IV-104huifang you

Using machine learning with longitudinal data to forecast 2-month biomarker response using phase 2a information

Thursday 15:00-16:45