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 […]
The Open-Source Revolution of AliBERT in French Biomedical AI
Developed by Quinten in 2022, AliBERT is a specialized model focusing on the French biomedical language. One version has been released as an open-source tool on the Huggingface platform, marking a significant contribution to the field of natural language processing (NLP) in healthcare.
AliBERT achieves it first successful application in oncology!
A successful proof-of-concept for AliBERT, the first French-language model specialized in the biomedical field. In partnership with a major French Cancer Fighting Institute, Quinten’s datalab team has developed a first concrete use case : the extraction of concepts and structured information from medical reports in oncology. A Natural Language Processing [NLP] task which, until now, has been highly complex, given the technical nature, diversity and specialization of these medical reports.
AliBERT: A pretrained Language Model for French Biomedical Text
Event : BioNLP 2023 Workshop at ACL (Association for Computational Linguistics)Authors: A. Berhe, G. Draznieks, V. Martenot, V. Masdeu, L. Davy, J-D. Zucker View publication Background Over the past few years, domain specific pretrained language models have been investigated and have shown remarkable achievements in different downstream tasks, especially in biomedical domain. These achievements stem on the well known BERT […]
AliBERT : the first pretrained language model for French biomedical text
The paper “AliBERT : A pretrained language model for French biomedical text” was written in collaboration with Aman Berhe, Guillaume Draznieks, Vincent Martenot, Valentin Masdeu, Lucas Davy and Jean-Daniel Zucker. BERT architecture, which allow for context learning on text documents, is mostly trained on common English text resources.Performances in other languages, especially in specific topics which requires deep knowledge and vocabulary, are […]
LiSA : an assisted literature search pipeline for detecting serious adverse drug events with deep learning
Publisher: BMC Medical Informatics and Decision MakingAuthors: V. Martenot, V. Masdeu, J. Cupe, F. Gehin, M. Blanchon, J. Dauriat, A. Horst, M. Renaudin, P. Girard, J-D. Zucker View publication Introduction Detecting safety signals attributed to a drug in scientific literature is a fundamental issue in pharmacovigilance. The constant increase in the volume of publications requires the automation of this tedious task, […]
Discover our new work around patients’ perception understanding throught NLP: a poster presented at ispor EU 2022!
The poster ” (# ) ’ ” was written in collaboration with Mélissa Rollot, Coriande Clemente, Vincent Martenot and Paul Hayat of Quinten and Quinten Health. The presented method makes possible the automated and efficient extraction of topics from a large volume of text data : Applied to patients’ testimonies, such analysis provides strong insights on patients’ perception about […]
Our team will present a poster at Journées de Biostatiques 2022
Quinten Health will be at the Journées de Biostatiques 2022 in Rennes, at the INSA School. Mélissa Rollot (Manager Data Scientist) and Coriande Clémente (Data Scientist) will be at the Journées de Biostatistique on November 17th and 18th, 2022 at Rennes. These days are intended to be an opportunity for exchanges and collaborations between academic […]
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’ […]
