Evaluating Bayesian Borrowing Methods for Treatment Effect Extrapolation: A Simulation-Based Study
Event: ISPOR Europe 2025, Glasgow, Scotland, UK Authors: Marie Génin, Tristan Fauvel, Antoine Movschin, Billy Amzal View Poster OBJECTIVES Bayesian borrowing methods are increasingly used to extrapolate treatment effects when direct evidence generation is challenging, such as for pediatrics or rare diseases. This study aimed to evaluate and compare the performance of Bayesian methods for treatment […]
Comparative Evaluation of Sequence-Encoding Strategies for Clustering Inhaled Therapy Pathways in COPD Patients Using Real-World Data
Event: ISPOR Europe 2025, Glasgow, Scotland, UK Authors: Romane Péan, Nina Temam, Marie Génin, Diane Vincent, Rachel Nadif, Sofiane Kab, Nicolas Roche, Pauline Guilmin View Poster OBJECTIVES Identifying and comparing patient treatment pathways is critical to inform healthcare decision-making, yet the high variability and complexity of real-world sequences pose methodological challenges. In clustering, sequence encoding plays […]
Development of an AI-Powered Tool to Accelerate and Enhance Systematic Literature Reviews for Evidence-Based Decision Making in Clinical Research
Event: ISPOR Europe 2025, Glasgow, Scotland, UK Authors: Paul Loustalot, Boris Kopin, Sacha Levy, Basile Ferry, Vincent Martenot View Poster OBJECTIVES Systematic literature reviews (SLRs) are foundational for evidence-based decisions-making across the pharmaceutical and medical devices product lifecycle, from early research and development to market launch, and post-market activities. Conventional SLRs are often time- and resource-intensive, […]
Comparing Individualized Treatment Effect Inference Methods Through a Simulation Study
Event: ISPOR Europe 2025, Glasgow, Scotland, UK Authors: Diane Vincent, Antoine Movschin, Tristan Fauvel View Poster OBJECTIVES Randomized controlled trials (RCTs) are the gold standard for estimating the average treatment effect (ATE), based on the equipoise principle and proper trial size and design, but they are typically not geared towards individual effect estimation. Conversely, real-world data […]
A New Regulatory-Grade Chronic Disease Cohort Simulator: Leveraging the Large, Deep, and Long Constances Cohort Linked and Matched to the SNDS in France
Event: ISPOR Europe 2025, Glasgow, Scotland, UK Authors: Marie Génin, Antoine Movschin, Sofiane Kab, Billy Amzal View Poster OBJECTIVES Virtual cohorts and synthetic patients are gaining traction to address data scarcity, privacy and ethical constraints in drug development. Quinten Health in partnership with INSERM/CONSTANCES, one of the largest general population cohorts in EU is developing a […]
An AI-Powered Tool to Identify and Assess Fit-for-Use Registries for Drug Development and Evaluation
Event: ISPOR Europe 2025, Glasgow, Scotland, UK Authors: Ghinwa Y. Hayek, Boris Kopin, Sonia Zebachi, Gaëtan Pinon, Basile Ferry, Elisabeth Bakker, Alexandre Macquin, Sieta T. de Vries, Peter G.M. Mol, Billy Amzal View Poster OBJECTIVES Selecting appropriate real-world data (RWD) sources, particularly registries, is a primary challenge for academia, industry, regulators, and health technology assessment (HTA) […]
Navigating the Real World: A Scoping Review of Structured Frameworks to Effectively Identify, Evaluate, and Select Real-World Data Sources for Fit-for-Purpose Studies
Event: EuroDURG 2025, Uppsala, Sweden Authors: Sonia Zebachi, Julien Tanniou, Elisabeth Bakker, Sieta T. de Vries, Rossella di Bidino, Entela Xoxi, Anna Glaser, Gianluigi Savarese, Jan Hillert, Peter G.M. Mol, Kelly Plueschke, Ghinwa Hayek, Billy Amzal, Jeverson Moreira View Poster The potential of real-world data (RWD), particularly from patient registries, has been increasingly recognised over […]
AI-Driven Disease and Care Modeling and Simulation: A Framework for Simulating Real-World Scenarios in Non-Small Cell Lung Cancer (NSCLC)
Event: ELCC 2025, Paris, France Authors: Antoine Movschin, Lise Bosquet, David Pérol, Melissa Rollot, Louise Dry, Coriande Clemente, Farah Al Nakib, Mathilde Berthelot, Margaux Törnqvist View Poster Background Advances in personalized medicine have driven targeted therapy for NSCLC through mutation identification, but their rarity in real-world (RW) settings limits traditional RCTs. External control arms (ECAs) offer an […]
Identification of risk profiles for liver injury in adults with multiple sclerosis using artificial intelligence method
Event: The Liver Meeting – AASLD (American Association for the Study of Liver Diseases) 2024, San Diego, California, USA Authors: Dominique Larrey, Fang Liz Zhou, Claire Brulle-Wohlhueter, Myriam Benamor, Jeffrey Chavin, Neda Razaz, Raphael Bejuit, Julien Dauriat, Théophile Reppelin, Romane Péan, Sam Ekhtiari, Nicolas Wagner, Fred Lublin View Poster Background The evolution of multiple sclerosis (MS) […]
Identification of risk profiles for liver injury in adults with multiple sclerosis using artificial intelligence method
Authors: Dominique Larrey, Fang Liz Zhou, Claire Brulle-Wohlhueter, Myriam Benamor, Jeffrey Chavin, Neda Razaz, Raphael Bejuit, Julien Dauriat, Théophile Reppelin, Romane Péan, Sam Ekhtiari, Nicolas Wagner, Fred Lublin Event: Congrès AFEF (Association Française pour l’Étude du Foie) View Poster Introduction et Objectif L’évolution du traitement de la sclérose en plaques (SEP) au cours des deux dernières […]
