Abstracts - PAGE Meeting (Population Approach Group Europe)

Abstracts (31)

I-08Stephen Amori

apmx: an open-source R package for automated PK and PKPD dataset assembly

Wednesday 10:00-11:30

I-09Lena Appel

Comparing the objective function value in NONMEM is valid for model selection when fixing THETA or OMEGA but not when fixing ETAs

Wednesday 10:00-11:30

I-17Dinesh Bharadwaj Bedathuru

Comparing Multiple Virtual Population Generation Approaches using as a base, a QSP Model of Rheumatoid Arthritis.

Wednesday 10:00-11:30

I-27Mohammed Cherkaoui Rbati

The transit compartment model: The truth behind n!

Wednesday 10:00-11:30

I-30Francois Combes

Benchmarking Industrial Computing Environments – Pharmacometrics Study (BICEPS)

Wednesday 10:00-11:30

I-31Eulalie Courcelles

Generation of a virtual population for a multi-strain model of natural and vaccinal immunization against influenza

Wednesday 10:00-11:30

I-35Zrinka Duvnjak

Performance evaluation of the full Automatic Model Development (AMD) tool when the true model is known

Wednesday 10:00-11:30

I-41Matthew Fidler

nlmixr2, rxode2 and NONMEM: interchangeable models using babelmixr2 and nonmem2rx

Wednesday 10:00-11:30

I-42Nuria Folguera-Blasco

Studying Targeted Protein Degradation Using a Quantitative Systems Pharmacology (QSP) Approach for Proteolysis Targeting Chimeras (PROTACs)

Wednesday 10:00-11:30

I-47Asina Gijasi

Development of an R Shiny application to aid pre-clinical development of immune-oncology compounds at Genmab

Wednesday 10:00-11:30

I-51Mélanie Guhl

Uncertainty computation at finite distance in nonlinear mixed effects models – a new method evaluated on simulations and applied to the evolution of clinical status of patients hospitalised for COVID-19

Wednesday 10:00-11:30

I-53Michael Hackl

Visualising and integrating automated model development within a validated environment

Wednesday 10:00-11:30

I-60Hyeseon Jeon

Construction of model-based PK-PD software platform using R package considering compatibility of nlme structured model

Wednesday 10:00-11:30

I-61Jihyun Jeon

Quantitative approaches of time-varying weight gain effects of antipsychotic drugs for Schizophrenia by model based meta-analysis.

Wednesday 10:00-11:30

III-01Oliver Ackaert

Building a reproducible pharmacometrics environment to ensure quality, continuity, efficiency, and good communication

Thursday 10:15-11:45

III-04Brigitta Bodak

Facilitating structural population PK model building for pharmacometricians and beyond

Thursday 10:15-11:45

III-15Matthieu Jacobs

Accounting for uncertainty in the application of generic PBPK workflow to candidate selection

Thursday 10:15-11:45

III-18Csaba Katai

An asymptotic description of a basic FcRn-regulated clearance mechanism and its implications for PBPK modelling of large antibodies

Thursday 10:15-11:45

III-23

Model-informed development of Mim8 – a novel bispecific antibody for the treatment of haemophilia A

Thursday 10:15-11:45

III-26Paul Lang

Leveraging Open Systems Biology Standards for Improved Reusability and Reproducibility of Pharmacological Models

Thursday 10:15-11:45

III-35Andreas Lindauer

e-Campsis: a Shiny PK/PD model simulator based on Campsis

Thursday 10:15-11:45

III-45John Maringwa

Partial residual plots (PRPs) as an integrated model diagnostic tool in model-based meta-analysis (MBMA)

Thursday 10:15-11:45

III-46Srinivas Martha

A meta-analysis of prevalence and incidence of diabetic peripheral neuropathy in Asia

Thursday 10:15-11:45

III-48Luca Marzano

Explainable machine learning for time-to-event analysis: exploring time-dependent covariate effects on models of small cell lung cancer

Thursday 10:15-11:45

III-50Frano Mihaljevic

Automatized reporting in the applications of MonolixSuite

Thursday 10:15-11:45

III-51Samer Mouksassi

The African applied pharmacometrics training fellowship: 1 year later

Thursday 10:15-11:45

III-73Keshava Sannala

Comparison of Pumas and NONMEM in parameter estimation of a complex pharmacodynamic model

Thursday 10:15-11:45

III-83Viktoria Stachanow

Drug and target parameters impacting target profiles for mono- and multi-specific NANOBODY® molecules – a model-based sensitivity analysis

Thursday 10:15-11:45

III-89Pauline Traynard

Bayesian individual dynamic predictions via a convenient R function using MonolixSuite

Thursday 10:15-11:45

III-92Sergei Vavilov

R framework for reproducible and quality-controlled modeling and simulation with the Open Systems Pharmacology Software

Thursday 10:15-11:45

III-95Han Zheng

MaS: population pharmacometric modeling in Python

Thursday 10:15-11:45