Enhancing Real-World Evidence with Biomedical Knowledge Graphs: Exploring Atopic Dermatitis Endotypes
Event: ISMB/ECCB 2023, Lyon, France Authors: F. Frau, P. Loustalot, M. Törnqvist, N. Temam, J. Cupe, F. Augé View Poster Background Precision Medicine is defined by the U.S. Food & Drug Administration as “an innovative approach to tailoring disease prevention and treatment that considers differences in people’s genes, environments and lifestyles. Methods To succeed in […]
L’intelligence artificielle au service de la modélisation de maladies en vie réelle : vision, exemples et impact sur l’évaluation des médicaments
Event: Colloque de Données de Santé en vie réelle, AFCROs 2023, Boulogne-Billancourt, France Authors: M. Génin, M. Rollot, A. Movschin, B. Amzal, J. Tanniou View Poster Introduction Le rôle des données de vie réelle (RWD) devient de plus en plus important dans les évaluations réglementaires et HTA, en compléments des essais randomisés (RCT), notamment pour anticiper […]
Hemolytic Markers, Mortality and Thromboembolic events in Cold Agglutinin Disease (CAD) with risk assessment by disease duration
Event: European Hematology Association (EHA) Congress 2023, Frankfurt, Germany Authors: Q.A. Hill, W. Barcellini, A. Röth, A. Karaouni, M. Afonso, R. Yoo, J. Tanniou, J. Rubio, C. Broome View Poster Background Cold agglutinin disease (CAD) is a rare autoimmune hemolytic anemia (AIHA) characterized by classical complement pathway-mediated hemolysis. Although there is consensus on an increased […]
Machine Learning (ML) applied to real-world data to guide prescription of immune-therapies in metastatic melanoma: a pilot study
Event: ISPOR Global 2023, Boston, MA, USA Authors: F. Gwadry-Sridhar, Billy Amzal View Poster Objectives: Newly diagnosed metastatic melanoma patients are often treated with molecular targeted therapy (TT) or with immunotherapy (IO). However, only a limited proportion of patients respond to those therapies, resulting in reduced survival and substantial inefficiencies for health systems. The purpose […]
AI-Powered Pre-Competitive Disease and Care Modeling: Building a Reference Disease-Centric Framework for Value-Based Decision Making
Event: ISPOR 2023, Boston, MA, USA Authors: B. Amzal, A. Movschin, A. Chiorean,J. Tanniou, M. Rollot, M. Génin View Poster Objectives Drugs evaluation has been undergoing a transformational shift from the classical sequence of randomized control trials (RCT) and Real-World (RW) studies towards a more agile process, capitalizing better and faster from retrospective data. The purpose of this […]
Cluster Algorithm for Credible Subgroup Identification in Patients with Erectile Dysfunction Receiving Tadalafil: A Real-World Data Study
Event: ISPOR Global 2023, Boston, MA, USA Authors: KT. McVary, C. Daluwatte, RA Kloner, M. Montmerle, M. Rollot, P. Guilmin, M. Blanchon, N. Lambert, C. Esnault, A. Stewart, T. McGraw View Poster Objectives: This non-comparative, retrospective study aimed to characterize the profiles of erectile disfunction (ED) patients prescribed with tadalafil by clustering the homogenous subpopulations with different […]
A Natural Language Processing (NLP) Approach to Automate Patients’ Testimonials Analysis
Event: ISPOR Europe 2022, Vienna, Austria Authors: P. Hayat, C. Clémente, V. Martenot, M. Rollot View Poster Objectives: Patients’ testimonials (e.g. posts on forums or responses to questionnaires) provide valuable insights to define and characterize patient-reported outcomes (PRO), quality of life and patients’ perspective of disease symptoms. However, traditional NLP methods used for automated analysis of patients’ […]
Une nouvelle approche d’analyse automatique de réponses de questionnaires patients basée sur les modèles de langages
Event: 14ème colloque annuel des Données de Santé en Vie Réelle 2022, AFCROs, Paris, France Authors: L. Deplante, P. Hayat, M. Rollot View Poster Introduction Les questionnaires à réponse ouverte représentent un outil précieux de la recherche épidémiologique pour recueillir la perception des patients sur leur maladie, leur qualité de vie ou leur prise en charge, […]
Using Natural Language Processing (NLP) to understand self-reported barriers and enablers to treatment adherence in type 2 diabetes (T2D) using data from the International Diabetes Management Practices Study (IDMPS)
Publisher: ADA 2022, New Orleans, LA, USA Authors: J.C. Chan; J.J. Gagliardino; H.M. Ilkova; A. Ramachandran; J-C. Mbanya; M. V. Shestakova; M. Rollot; M. Blanchon; P. Hayat; J-M. Chantelot; P. Aschner View Poster Introduction IDMPS is an international, observational study to assess care practices and clinical profiles of people with diabetes in developing countries. […]
Identifying patients with Gaucher Disease type 3 (GD3) in the Optum’s de-identified Market Clarity database: a clustering analysis
Event: WORLD Symposium 2022, San Diego, CA, USA Authors: C. Rochmann, M. Génin, M. Blanchon, N. Lambert, L. Deplante, W. Heine, S.Kabadi View Poster Objectives GD3 is a progressive, Lysosomal Storage Disorder (LSD), distinguished from GD1 by early heterogenous neurological manifestations. Neurological presentation in GD1 patients is not well understood. Differentiation of GD3 from GD1 […]
