32th PAGE Meeting

Rome - Italy
26-28 June, 2024

View abstracts

Home / 2024 – Rome – Italy / Abstracts

← Back to filters

Abstracts (21)

I-037Dominic Bräm

Implementation of neural ordinary differential equations in the pharmacometric software packages Monolix, NONMEM, and nlmixr

Wednesday 10:20-11:50

II-020Berfin Gülave

Prediction of unbound partition coefficients at the blood-brain barrier (Kp,uu,BBB) using machine learning and its integration into a physiologically-based pharmacokinetic modeling workflow

Wednesday 15:20-16:50

II-064Felix Jost

Towards pharmacokinetic profile predictions of small molecules using machine learning derived parameters and compartmental modeling

Wednesday 15:20-16:50

II-067Melanie Karlsen

Identifying SHAP’s added value to PK covariate modeling on a small dataset

Wednesday 15:20-16:50

II-070Takayuki Katsube

Application of Machine Learning Approach to Pharmacokinetic/Pharmacodynamic Analysis of Lusutrombopag

Wednesday 15:20-16:50

II-071Marija Kekic

Stochastic Gate Neural Networks for Automatic Covariate Selection in Pharmacometrics Population Modeling

Wednesday 15:20-16:50

II-076Marian Klose

Machine learning-driven flattening of model priors: A comparative simulation study across multiple compounds

Wednesday 15:20-16:50

II-094Hyunjung Lee

Predicting intrinsic clearance by the integration of deep learning-based drug-metabolic enzyme binding interactions on a canonical in vitro-in vivo extrapolation method

Wednesday 15:20-16:50

II-106Klaus Lindauer

Application of neural-ODE framework to support dose escalation decision during safety review meetings in first-in-human clinical trial

Wednesday 15:20-16:50

III-016Carl Julius Martensen

Data-Driven Discovery of Interpretable Feedback Mechanisms in Acute Myeloid Leukaemia using DeepPumas

Thursday 09:50-11:20

III-036Adam Nasim

Discovering Intrinsic PK/PD Models Using Physics Informed Neural Networks

Thursday 09:50-11:20

III-044Jeein Noh

Machine Learning for Antibiotic-Induced Nephrotoxicity Prediction in Korean Hospitalized Patients

Thursday 09:50-11:20

III-060BELA PATEL

Development and benchmarking of non-generative and generative natural language processing approaches for AI-assisted pharmacometric literature curation

Thursday 09:50-11:20

III-071Thao Pham

DeepARV-ChemBERTa: Ensemble Deep Learning to Predict Drug-Drug Interaction of Clinical Relevance with Antiretroviral Therapy

Thursday 09:50-11:20

III-084Ibtissem Rebai

mlcov: New Machine Learning Based R package for Covariate Selection

Thursday 09:50-11:20

IV-002Carlos Serra Traynor

DeepCIM: Prediction of myelosuppressive anti-cancer molecules using drug-target interaction datasets

Thursday 15:00-16:30

IV-025Mikael Sunnåker

A Generative Pre-trained Transformer for Time-Course and Dose-Response Predictions

Thursday 15:00-16:30

IV-031Olga Teplytska

Machine Learning algorithms for concentration prediction in anticancer drug therapy: Towards a method for individual dose adjustment

Thursday 15:00-16:30

IV-042Elena Tosca

Dealing with stochasticity in precision dosing decision-making processes by fully exploiting PK-PD modelling in Reinforcement Learning algorithms. A practical case-study on Vancomycin continuous infusion in ICU patients

Thursday 15:00-16:30

IV-048Diego Valderrama

Integrating Random Effects in Scientific Machine Learning Models for Pharmacokinetic Modeling

Thursday 15:00-16:30

IV-100Huifang You

Machine learning time-to-event analysis for prediction of 2-month culture conversion with phase 2a information in tuberculosis drug development

Thursday 15:00-16:30