An AI powered tool to identify and assess fit-for use registries for real-world evidence
Event: EuroDURG 2025, Uppsala, Sweden Authors: Ghinwa Y. Hayek, Pascal Godbillot, Coriande Clemente, Sonia Zebachi, Gaëtan Pinon, Boris Kopin, Elisabeth Bakker, Sieta T. de Vries, Peter G.M. Mol, Billy Amzal View publication Abstract The selection of appropriate real-world data (RWD) sources, particularly registries, is of primary concern for academia, industry, regulators, and health technology assessment […]
Clustering des trajectoires thérapeutiques pour la bronchopneumopathie chronique obstructive (BPCO) : comparaison des méthodes d’encodage de séquences
Event: 17ème Colloque Données de Santé en Vie Réelle de l’AFCROs, Paris, France Authors: Romane Pean, Nina Temam, Diane Vincent, Marie Génin, Pauline Guilmin View Presentation Introduction L’analyse des séquences thérapeutiques et évènements médicauxest essentielle pour optimiser la prise en charge des patients. Cependant, lacomplexité et variabilité de ces séquences posent un défi méthodologique. Leclustering […]
A text-to-tabular approach to generate synthetic patient data using LLMs
Event: IEEE ICHI 2025, Rende, ItalyAuthors:Margaux Tornqvist, Jean-Daniel Zucker, Tristan Fauvel, Nicolas Lambert, Mathilde Berthelot, Antoine Movschin View Conference Proceeding Abstract Access to large-scale high-quality healthcare databases is key to accelerate medical research and make insightful discoveries about diseases. However, access to such data is often limited by patient privacy concerns, data sharing restrictions and […]
Decision-Making Criteria and Methods for Initiating Late-Stage Clinical Trials in Drug Development from a Multi-Stakeholder Perspective: A Scoping Review
Event: PSI 2025, Verona, Italy Authors: Ce Jiang, Céline Beji, Sonia Zebachi, Ghinwa Y. Hayek, Aysun Cetinyurek-Yavuz, Muhammad Bergas N. Fayyad, Laura Rodwell, Kit C. B. Roes, Billy Amzal, Christoph Gerlinger, Raphaël Porcher, Julien Tanniou View Abstract The decision-making process in drug development involves “go/no-go” decisions, particularly at the transition from early to late-stages trials. While the decisions are solely made by drug developers, they must […]
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 […]
