Comparative Evaluation of Sequence-Encoding Strategies for Clustering Inhaled Therapy Pathways in COPD Patients Using Real-World Data
At ISPOR Europe 2025, Marie Génin presented Quinten Health’s study comparing three sequence encoding strategies for clustering inhaled therapy pathways in COPD patients based on real-world data from CONSTANCES linked to SNDS. Marie Génin presenting Quinten Health’s poster at ISPOR Europe 2025. Why Encoding Matters COPD treatment pathways are complex and heterogeneous. Machine-learning algorithms require […]
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 […]
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 […]
Policy makers must adopt agile signal detection tools to strengthen epidemiological surveillance and improve pandemic preparedness
Publisher: Health Policy Authors: Cédric Mahé, Aimo Kannt, AIOLOS Consortium View publication Abstract The SARS-COV2 pandemic has highlighted the urgent need for agile and responsive disease surveillance systems. To strengthen epidemiological surveillance and improve pandemic preparedness, policymakers must adopt real-time signal detection tools that integrate multisource data, including non-traditional health data, advanced analytics, and artificial […]
Artificial Intelligence (AI) ToOLs for Outbreak Detection and response: a transnational platform for surveillance, monitoring and decision support
Event: ISPOR Europe 2023, Copenhagen, Denmark Authors: M. Génin, J. Botz, L. Coudeville, M. Eisenlauer, T. Fauvel, F. Huschka, N. Lambert, D. Wang, V. Bosch Castells, C. Commaille-Chapus, B. Frandji, M. Haberstroh, JY. Robin, P. Roehn, H. Sippel, P. Thiele, E. Thommes, C. Weber, B. Amzal, H. Fröhlich, A. Kannt, C. Mahé View Poster Objectives […]
High-Dose Influenza Vaccine Is Associated With Reduced Mortality Among Older Adults With Breakthrough Influenza Even When There Is Poor Vaccine-Strain Match
Publisher: Clinical Infectious DiseasesAuthors: S.S. Chaves, S. Naeger, K. Lounaci, Y. Zuo, M.M. Loiacono, Q. Pilard, J. Nealon, M. Génin, C. Mahe View publication Background High-dose (HD) influenza vaccine offers improved protection from influenza virus infection among older adults compared with standard-dose (SD) vaccine. Here, we explored whether HD vaccine attenuates disease severity among older adults with breakthrough influenza. […]
Estimating the pertussis burden in adolescents and adults in the United States between 2007 and 2019
Publisher: Taylor & Francis OnlineAuthors: D. Macina, S. Mathur, M. Dvaretskaya, S. Ekhtiari, P. Hayat, M. Montmerle, C.Daluwatte View publication Objectives We developed a machine learning algorithm to identify undiagnosed pertussis episodes in adolescent and adult patients with reported acute respiratory disease (ARD) using clinician notes in an electronic healthcare record (EHR) database. Here, we utilized the algorithm to […]
Development of an algorithm for finding pertussis episodes in a population-based electronic health record database
Publisher: Taylor & Francis OnlineAuthors: C. Daluwatte, M. Dvaretskaya, S. Ekhtiari, P. Hayat, M. Montmerle, S. Mathur, D. Macina View publication Background While tetanus-diphtheria-acellular pertussis (Tdap) vaccines for adolescents and adults were licensed in 2005 and immunization strategies proposed, the burden of pertussis in this population remains under-recognized mainly due to atypical disease presentation, undermining efforts to optimize protection […]
Assay Harmonization and Use of Biological Standards To Improve the Reproducibility of the Hemagglutination Inhibition Assay: a FLUCOP Collaborative Study
Publisher: ASM Journals / mSphereAuthors: J. Waldock, L. Zheng, E.J. Remarque, A. Civet, B. Hu, S. Lartey Jalloh, R. Jane Cox, S. Ho, K. Hoschler, T. Ollinger, C.M. Trombetta, O.G. Engelhardt, C.Caillet View publication Background The hemagglutination inhibition (HAI) assay is an established technique for assessing influenza immunity, through measurement of antihemagglutinin antibodies. Improved reproducibility of […]
Projeter l’efficacité d’un traitement en vie réelle (VR) à partir d’une étude clinique randomisée (ECR) : une approche utilisant le suréchantillonnage
Event: 11ème Colloque Données de Santé en vie réelle 2019, AFCROs, Paris, France Authors: C. Esnault, M. Génin, S. Ekhtiari, A. Civet View Poster Introduction Bien qu’il n’y ait pas encore de consensus formel sur l’emploi des modèles statistiques pour estimer l’efficacité d’un traitement en VR, le besoin de son évaluation plus systématique est largement reconnu [1] […]
