Comparing Individualized Treatment Effect Inference Methods Through a Simulation Study
At ISPOR Europe 2025, Antoine Movschin presented Quinten Health’s simulation-based comparison of machine-learning approaches for estimating individualized treatment effects (ITE). As healthcare increasingly relies on real-world data and personalized medicine, robust estimation of patient-level treatment effects is essential for research, clinical practice, and HTA decision-making. Antoine Movschin presenting the poster at ISPOR Europe 2025. Why […]
A New Regulatory-Grade Chronic Disease Cohort Simulator: Leveraging the Large, Deep, and Long Constances Cohort Linked and Matched to the SNDS in France
Quinten Health presented at ISPOR Europe 2025 a new regulatory-grade chronic disease cohort simulator built from the CONSTANCES cohort linked and individually matched to the French SNDS. This unique data asset provides an unprecedented foundation for generating transparent, reproducible, and high-quality real-world evidence for HTA, regulatory assessment, and long-term disease modelling. Marie Génin presenting the […]
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 […]
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 […]
Social deprivation aggravates post-operative morbidity in carcinologic colorectal surgery: Results of the COINCIDE multicenter study
Publisher: Journal of Visceral SurgeryAuthors: A. Alves, A. Civet, A. Laurent, Y. Parc, C. Penna, S. Msika, M. Hirsch, M. Pocard, G. Coincide View publication Aim of the study Evaluate the impact of social deprivation on morbidity and mortality in surgery for colorectal cancer. Methods The COINCIDE prospective cohort included nearly 2,000 consecutive patients operated on […]
Identification of predictive factors of DKA using a subgroup discovery algorithm
Event : EASD (European Association for the Study of Diabetes) Annual Meeting 2019, Barcelona, SpainAuthors: Angela Ibald-Mulli, Margot Blanchon, Alexandre Civet, Julia Hermann, Simon Gosset, Oussama Berguiga, Dieter Paar View video View publication Background and aims: Diabetic ketoacidosis (DKA) is a serious complication of type 1 diabetes (T1D), which is difficult to diagnose due to […]
