Abstracts - PAGE Meeting (Population Approach Group Europe)

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Abstracts (27)

B-04Iain Gardner

Pre-clinical and clinical applications of PBPK models for monoclonal antibodies and other large molecule modalities.

Wednesday 09:00-09:45

B-07Hans Peter Grimm

Learn-and-Confirm in Quantitative Systems Pharmacology: Evaluation of an Immunogenicity Platform

Wednesday 11:15-11:35

B-08Alix Démaris

Towards understanding anti-infliximab antibody development to predict Crohn’s disease patients’ underlying immunogenicity status

Wednesday 11:35-11:55

B-08Rory Leisegang

Immunogenicity dynamics and covariate effects after satralizumab administration predicted with a Hidden Markov Model

Wednesday 11:55-12:15

B-11Xiaomei Chen

Development of a tool for fully automatic model development (AMD)

Wednesday 13:45-14:05

B-12Marc Lavielle

SAMBA: a new algorithm for automatic construction of nonlinear mixed-effects models.

Wednesday 14:05-14:25

B-14Ron Keizer

Composite Importance Sampling (CIS) for continuous learning in precision dosing

Wednesday 14:25-14:45

B-15Benjamin Ribba

Population model-enhanced reinforcement learning to enable precision dosing: case study with dosing of propofol for sedation

Wednesday 14:45-15:05

B-19Orwa Albitar

Pharmacometric Modeling of Drug Adverse Effects: An Application of Mixture Models in Schizophrenia Spectrum Disorder Patients Treated with Clozapine

Wednesday 16:40-17:00

B-20Jurgen Langenhorst

An item response theory model with bounded integer subcomponents to describe the Mayo Clinic subscores in patients with ulcerative colitis

Wednesday 17:00-17:20

C-02Kamunkhwala Gausi

A semi-mechanistic model of the population pharmacokinetics and bactericidal activity of high-dose isoniazid against multi-drug-resistant tuberculosis

Thursday 08:30-08:55

C-03Yu Fu

A translational cardiovascular systems model to quantify drug effects on contractility and other hemodynamic variables

Thursday 08:55-09:20

C-04Soumya Perinparajah

Mathematically Modelling CD19+ B Cell Reconstitution After Insult to the Immune System: Paediatric Allogeneic Haematopoietic Stem Cell Transplantation, Rituximab Therapy and Epstein-Barr Viral Reactivation

Thursday 09:20-09:45

C-08Marie Alexandre

SARS-CoV-2 mechanistic correlates of protection in non-human primates: insight from modelling response to vaccines.

Thursday 11:20-11:40

C-09Alexandra Lavalley-Morelle

Longitudinal biomarkers predicting death of hospitalized patients for SARS-COV-2 infection: a joint analysis with competing risks

Thursday 11:40-12:00

C-10Jacqueline Ernest

Spatially and temporally resolved diffusion kinetics of bedaquiline and TBAJ-587 in hard-to-treat sites of TB disease

Thursday 12:00-12:20

C-11Federico Reali

PBPK/PD modeling and machine learning approaches to support the development of new drugs and regimens against tuberculosis.

Thursday 12:20-12:40

C-15Filippo Castiglione

Modeling biology by agents

Thursday 14:15-15:00

C-18Sarah Baklouti

A methodology to de-shrink Empirical Bayes Estimates

Thursday 16:30-16:50

C-19Thomas Bouillon

Dose selection by covariate assessment on the optimal dose for efficacy – application of machine learning in the context of PKPD

Thursday 16:50-17:10

C-20Laura Zwep

Copula modeling for realistic virtual patient covariate simulation

Thursday 17:10-17:30

D-02Zinnia Parra-Guillen

A physiologically-based pharmacokinetic/pharmacodynamic framework to support clinical development of V937, a novel oncolytic virus

Friday 09:15-09:35

D-03Marion Kerioui

Joint modelling of individual target lesions and survival to characterize the variability in the response to immunotherapy versus chemotherapy in advanced bladder cancer

Friday 09:35-09:55

D-04Sebastien Benzekry

Supporting decision making and early prediction of survival for oncology drug development using a pharmacometrics-machine learning based model.

Friday 09:55-10:15

D-05Sarah Lobet

Target-response relationship of bevacizumab may be more relevant than exposure-response – a target-mediated drug disposition (TMDD) model

Friday 10:15-0:35

D-09Perrine Courlet

Modelling real-world tumor size dynamics based on electronic health records and image data in advanced melanoma patients receiving immunotherapy

Friday 11:15-11:35

D-10Luca Marzano

Introducing a novel analytical framework for risk stratification of real-world data with survival and unsupervised machine learning. A small cell lung cancer SCLC study

Friday 11:35-11:55