2024 Rome, Italy

A-01
Registration at the Conference Venue
Tuesday 18:30-21:30
A-02
Opening Ceremony, Welcome Reception
Tuesday 18:30-21:30
B-01
Registration at the Conference
Wednesday 8:00-8:45
B-02
Welcome and Introduction
Wednesday 8:45-9:00
B-03
New Modeling Approaches
Wednesday 9:00-10:00
B-04 Nikolaos Alimpertis
The estimates for the absorption rate constant in pharmacokinetics and pharmacometrics are wrong: A new era based on the finite absorption time concept rises
Wednesday 9:00-9:20
B-05 Robin Chaux
Meta-analysis of parameter estimates of non-linear mixed effect models using Approximate Bayesian Computation: application to population pharmacokinetics
Wednesday 9:20-9:40
B-06 Mohamed Gewily
A Semi Parametric Method for the Estimation of End of Treatment Effect
Wednesday 9:40-10:00
B-07
Coffee Break, Software, and Poster Session I
Wednesday 10:00-11:30
B-08
Pediatric Extrapolation
Wednesday 11:30-12:30
B-09 Kristin Karlsson
Paediatric Extrapolation - Opportunities and Challenges
Wednesday 11:30-11:50
B-10 Italo Poggesi
Extrapolating treatment to children less than 6 years old: the successful story of velmanase alfa in alpha-mannosidosis
Wednesday 11:50-12:10
B-11 Bart van Lieshout
Population pharmacokinetic analysis of guanabenz in children with Vanishing White Matter: Evaluating scaling adult drug safety and pharmacokinetics data
Wednesday 12:10-12:30
B-12
Lunch
Wednesday 12:30-14:00
B-13
A tutorial on machine learning & pharmacometrics
Wednesday 14:00-14:50
B-14 Nadia Terranova and Uri Nahum
Artificial Intelligence and Machine Learning for Next-Generation Model-Informed Precision Medicine: A Tutorial on Practical Applications and Pitfalls
Wednesday 14:00-14:50
B-15
Machine Learning in Pharmacometrics
Wednesday 14:50-15:30
B-16 Antari Khot
Do tree-based machine learning methods outperform Cox regression for progression-free survival prediction in mobocertinib treated lung cancer patients?
Wednesday 14:50-15:10
B-17 Ana Victoria Ponce Bobadilla
Benefits of integrating machine learning with clinical pharmacology principles for predictive pharmacokinetic modeling
Wednesday 15:10-15:30
B-18
RedIF Announcement
Wednesday 15:30-15:35
B-19
Coffee Break, Software, and Poster Session II
Wednesday 15:35-17:00
B-20
Neurodegenerative diseases
Wednesday 17:05-17:45
B-21 Alzahra Hamdan
Item Response Theory Analysis of the Scale for the Assessment and Rating of Ataxia in Autosomal Recessive Cerebellar Ataxias
Wednesday 17:05-17:25
B-22 Alessio Paris
An age-dependent QSP model of Nf trafficking to optimize treatment in neurodegenerative diseases
Wednesday 17:25-17:45
C-01
Lewis Sheiner Student Session
Thursday 8:30-10:10
C-02 Conor O'Hanlon
A framework for drug pharmacokinetics during cardiopulmonary bypass
Thursday 8:30-8:55
C-03 Alexander Janssen
A generative and causal pharmacokinetic model for haemophilia A: towards an unified model for all factor VIII concentrates.
Thursday 8:55-9:20
C-04 Alessandro De Carlo
Integrating Reinforcement Learning and PK-PD modelling to enable precision dosing: a multi-objective optimization for the treatment of Polycithemia Vera patients with Givinostat
Thursday 9:20-9:45
C-05 Alexandra Lavalley-Morelle
Joint modeling of biomarkers dynamics and survival with competing risks to predict the prognostic of patients hospitalized with severe infectious diseases
Thursday 9:45-10:10
C-06
Presentation Lewis Sheiner Student Session Awards
Thursday 10:10-10:15
C-07
Coffee Break, Software, and Poster Session III
Thursday 10:15-11:45
C-08
Modelling Antibody Responses
Thursday 11:45-12:25
C-09 Iñaki F. Trocóniz
Modeling the dynamics of anti-drug antibodies in cancer patients treated with oncolytic virus in monotherapy or in combination with immune check- point inhibitors
Thursday 11:45-12:05
C-10 Quentin Clairon
Modeling the kinetics of the neutralizing antibody response against SARS-CoV-2 variants after several administrations of Bnt162b2 vaccine
Thursday 12:05-12:25
C-11
Lunch
Thursday 12:25-13:55
C-12
Keynote Lecture
Thursday 13:55-14:40
C-13 Alexandra Snyder
Current and future applications of circulating tumor DNA (ctDNA) to oncology drug development
Thursday 13:55-14:40
C-14
Tumor Growth Dynamics
Thursday 14:40-15:20
C-15 Yomna Nassar
A joint tumour dynamics and C-reactive protein turnover model to identify early longitudinal prognostic predictors of overall survival in advanced non-small cell lung cancer patients
Thursday 14:40-15:00
C-16 Anna Kondic
The combined use of propensity score matching and a joint tumor growth dynamics (TGD) - Overall Survival (OS) model to benchmark the efficacy of new treatments for advanced renal cell carcinoma (RCC)
Thursday 15:00-15:20
C-17
ACoP Announcement
Thursday 15:20-15:25
C-18
Coffee Break, Software, and Poster Session IV
Thursday 15:25-16:55
C-19
Stuart Beal Methodology Session
Thursday 16:55-17:55
C-20 Freya Bachmann
Computing Optimal Drug Dosing with Constraints on Model States in NONMEM
Thursday 16:55-17:15
C-21 Dominic Bräm
Neural ODE structures based on pharmacokinetic principles
Thursday 17:15-17:35
C-22 Zhonghui Huang
Development and exploration of exhaustive, stepwise, and heuristic algorithms for automated population pharmacokinetic modelling
Thursday 17:35-17:55
C-23
Social Event
Thursday 20:30-2:00
D-01
QSP & PBPK Disease Models
Friday 9:15-10:15
D-02 Joey Leung
Virtual population analysis of a Quantitative Systems Pharmacology (QSP) model of atopic dermatitis (AtD) to evaluate AtD treatments
Friday 9:15-9:35
D-03 Natalia Riva
Expanding a quantitative systems pharmacology (QSP) modeling framework for acute Hepatitis B to characterize chronic infection
Friday 9:35-9:55
D-04 Robin Michelet
Development and Application of a Minimal Physiology-based Pharmacokinetics Modelling Framework to Predict Tumor Penetration and Receptor Occupancy.
Friday 9:55-10:15
D-05
Preview of PAGE 2024
Friday 10:15-10:20
D-06
Coffee Break
Friday 10:20-10:55
D-07
Model Diagnostics
Friday 10:55-11:55
D-08 Martin Bergstrand
Application relevant shrinkage metrics
Friday 10:55-11:15
D-09 Sarah Baklouti
Multivariate Exact Discrepancy : a new tool for PK/PD model evaluation
Friday 11:15-11:35
D-10 Stefanie Hennig
Considerations when deriving time-averaged exposure for censored subjects for logistic regression exposure-response analyses
Friday 11:35-11:55
D-11
Closing remarks
Friday 11:55-12:05
D-12
Audience Input for potential PAGE 2024 topics
Friday 12:05-12:20