2024 Rome, Italy

I-08 Stephen Amori
apmx: an open-source R package for automated PK and PKPD dataset assembly
Wednesday 10:00-11:30
I-09 Lena 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-17 Dinesh Bharadwaj Bedathuru
Comparing Multiple Virtual Population Generation Approaches using as a base, a QSP Model of Rheumatoid Arthritis.
Wednesday 10:00-11:30
I-27 Mohammed Cherkaoui Rbati
The transit compartment model: The truth behind n!
Wednesday 10:00-11:30
I-30 Francois Combes
Benchmarking Industrial Computing Environments - Pharmacometrics Study (BICEPS)
Wednesday 10:00-11:30
I-31 Eulalie Courcelles
Generation of a virtual population for a multi-strain model of natural and vaccinal immunization against influenza
Wednesday 10:00-11:30
I-35 Zrinka Duvnjak
Performance evaluation of the full Automatic Model Development (AMD) tool when the true model is known
Wednesday 10:00-11:30
I-41 Matthew Fidler
nlmixr2, rxode2 and NONMEM: interchangeable models using babelmixr2 and nonmem2rx
Wednesday 10:00-11:30
I-42 Nuria Folguera-Blasco
Studying Targeted Protein Degradation Using a Quantitative Systems Pharmacology (QSP) Approach for Proteolysis Targeting Chimeras (PROTACs)
Wednesday 10:00-11:30
I-47 Asina Gijasi
Development of an R Shiny application to aid pre-clinical development of immune-oncology compounds at Genmab
Wednesday 10:00-11:30
I-51 Mélanie 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-53 Michael Hackl
Visualising and integrating automated model development within a validated environment
Wednesday 10:00-11:30
I-60 Hyeseon Jeon
Construction of model-based PK-PD software platform using R package considering compatibility of nlme structured model
Wednesday 10:00-11:30
I-61 Jihyun 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-01 Oliver Ackaert
Building a reproducible pharmacometrics environment to ensure quality, continuity, efficiency, and good communication
Thursday 10:15-11:45
III-04 Brigitta Bodak
Facilitating structural population PK model building for pharmacometricians and beyond
Thursday 10:15-11:45
III-15 Matthieu Jacobs
Accounting for uncertainty in the application of generic PBPK workflow to candidate selection
Thursday 10:15-11:45
III-18 Csaba 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 Mads Kreilgaard
Model-informed development of Mim8 - a novel bispecific antibody for the treatment of haemophilia A
Thursday 10:15-11:45
III-26 Paul Lang
Leveraging Open Systems Biology Standards for Improved Reusability and Reproducibility of Pharmacological Models
Thursday 10:15-11:45
III-35 Andreas Lindauer
e-Campsis: a Shiny PK/PD model simulator based on Campsis
Thursday 10:15-11:45
III-45 John Maringwa
Partial residual plots (PRPs) as an integrated model diagnostic tool in model-based meta-analysis (MBMA)
Thursday 10:15-11:45
III-46 Srinivas Martha
A meta-analysis of prevalence and incidence of diabetic peripheral neuropathy in Asia
Thursday 10:15-11:45
III-48 Luca 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-50 Frano Mihaljevic
Automatized reporting in the applications of MonolixSuite
Thursday 10:15-11:45
III-51 Samer Mouksassi
The African applied pharmacometrics training fellowship: 1 year later
Thursday 10:15-11:45
III-73 Keshava Sannala
Comparison of Pumas and NONMEM in parameter estimation of a complex pharmacodynamic model
Thursday 10:15-11:45
III-83 Viktoria 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-89 Pauline Traynard
Bayesian individual dynamic predictions via a convenient R function using MonolixSuite
Thursday 10:15-11:45
III-92 Sergei Vavilov
R framework for reproducible and quality-controlled modeling and simulation with the Open Systems Pharmacology Software
Thursday 10:15-11:45
III-95 Han Zheng
MaS: population pharmacometric modeling in Python
Thursday 10:15-11:45