Development of an AI-Powered Tool to Accelerate and Enhance Systematic Literature Reviews for Evidence-Based Decision-Making in Clinical Research
Accelerating Systematic Literature Reviews with an AI-Powered Screening Tool At ISPOR Europe 2025, Paul Loustalot from Quinten Health presented a new AI-powered tool designed to accelerate and enhance systematic literature reviews (SLRs) by semi-automating title and abstract screening. The tool enhances efficiency while preserving the scientific rigor required in evidence-based clinical research. Paul Loustalot presenting […]
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, […]
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) […]
Patient-reported outcomes and treatment adherence in type 2 diabetes using natural language processing: Wave 8 of the Observational International Diabetes Management Practices Study
Publisher: Journal of Diabetes Investigation Authors: Juliana CN Chan, Jean Claude Mbanya, Jean-Marc Chantelot, Marina Shestakova, Ambady Ramachandran, Hasan Ilkova, Lucille Deplante, Melissa Rollot, Lydie Melas-Melt, Juan Jose Gagliardino, Pablo Aschner View Publication Aims/Introduction We analyzed patient-reported outcomes of people with type 2 diabetes to better understand perceptions and experiences contributing to treatment adherence. Materials and […]
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 […]
A text-to-tabular approach to generate synthetic patient data using LLMs
Publisher: IEEE XploreAuthors: Margaux Tornqvist, Jean-Daniel Zucker, Tristan Fauvel, Nicolas Lambert, Mathilde Berthelot, Antoine Movschin View publication 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 high costs. To […]
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 […]
A text-to-tabular approach to generate synthetic patient data using LLMs
Publisher: arXivAuthors: Margaux Tornqvist, Jean-Daniel Zucker, Tristan Fauvel, Nicolas Lambert, Mathilde Berthelot, Antoine Movschin View publication 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 high costs. To overcome […]
Existing practices for the identification, selection or assessment of registries for regulatory/HTA purposes: a More-EUROPA project systematic review
Event: ISPOR Europe 2023, Copenhagen, Denmark Authors: S. Zebachi, J. Moreira, J. Tanniou, P. Godbillot, P. Tang, B. Amzal View Poster Objectives Real-world data (RWD), particularly patient registries, represent a potential useful source of information and may be required at various stages of the drug lifecycle. Different questions may be asked throughout the regulatory and/or […]
Existing automated tools to assist evidence generation and better qualification of registries and real-world data. A systematic review from the More-EUROPA project
Event: ISPOR Europe 2023, Copenhagen, Denmark Authors: P. Godbillot, P. Tang, J. Moreira, J. Tanniou S. Zebachi, B. Amzal View Poster Objectives The More-EUROPA project consortium brings together 14 public and private entities from 7 countries with the aim of enhancing the ethical and effective utilization of registry data to facilitate patient-centered decision-making by drug regulators and Health Technology Assessment […]
