Automatic classification of registered clinical trials towards the Global Burden of Diseases taxonomy of diseases and injuries. - Ignacio Atal; Jean-David Zeitoun; Aurélie Névéol; Philippe Ravaud; Raphaël Porcher; Ludovic Trinquart (BMC Bioinform., 2016)

Complex systems approach to scientific publication and peer-review system: development of an agent-based model calibrated with empirical journal data. - Michail Kovanis; Raphaël Porcher; Philippe Ravaud; Ludovic Trinquart (Scientometrics, 2016)

Blockchain protocols in clinical trials: Transparency and traceability of consent. - Mehdi Benchoufi; Raphaël Porcher; Philippe Ravaud (F1000Research, 2017)

Evaluating alternative systems of peer review: a large-scale agent-based modelling approach to scientific publication. - Michail Kovanis; Ludovic Trinquart; Philippe Ravaud; Raphaël Porcher (Scientometrics, 2017)

From Clinical Trials to Highly Trustable Clinical Trials: Blockchain in Clinical Trials, a Game Changer for Improving Transparency? - Mehdi Benchoufi; Doug Altman; Philippe Ravaud (Frontiers Blockchain, 2019)

Patients' views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort. - Viet-Thi Tran; Carolina Riveros; Philippe Ravaud (npj Digit. Medicine, 2019)

Reconfiguring health services to reduce the workload of caregivers during the COVID-19 outbreak using an open-source scalable platform for remote digital monitoring and coordination of care in hospital Command Centres. - Philippe Ravaud; Franck le Ouay; Etienne Depaulis; Alexandre Huckert; Bruno Vegreville; Viet-Thi Tran (CoRR, 2020)

Impact of an interactive web tool on patients' intention to receive COVID-19 vaccination: a before-and-after impact study among patients with chronic conditions in France. - Viet-Thi Tran; Stéphanie Sidorkiewicz; Clarisse Péan; Philippe Ravaud (BMC Medical Informatics Decis. Mak., 2021)

Algorithmovigilance, lessons from pharmacovigilance. - Alan Balendran; Mehdi Benchoufi; Theodoros Evgeniou; Philippe Ravaud (npj Digit. Medicine, 2024)

A scoping review of robustness concepts for machine learning in healthcare. - Alan Balendran; Céline Beji; Florie Bouvier; Ottavio Khalifa; Theodoros Evgeniou; Philippe Ravaud; Raphaël Porcher (npj Digit. Medicine, 2025)

Real-world validation of a multimodal LLM-powered pipeline for High-Accuracy Clinical Trial Patient Matching leveraging EHR data. - Anatole Callies; Quentin Bodinier; Philippe Ravaud; Kourosh Davarpanah (CoRR, 2025)