A5068103198- Biomedical Text Mining and Ontologies
- Pharmacovigilance and Adverse Drug Reactions
- Computational Drug Discovery Methods
- Semantic Web and Ontologies
- Semiconductor Quantum Structures and Devices
- Academic integrity and plagiarism
- linguistics and terminology studies
- Misinformation and Its Impacts
- Quantum and electron transport phenomena
- Topic Modeling
- Drug-Induced Adverse Reactions
- Machine Learning in Healthcare
- Natural Language Processing Techniques
- Pharmaceutical industry and healthcare
- Artificial Intelligence in Healthcare and Education
- Electronic Health Records Systems
- Pharmaceutical Quality and Counterfeiting
- Vaccine Coverage and Hesitancy
- Advanced Semiconductor Detectors and Materials
- Medical Imaging and Pathology Studies
- Spectroscopy and Quantum Chemical Studies
- Hate Speech and Cyberbullying Detection
- Medical Coding and Health Information
- Spectroscopy and Laser Applications
- Tracheal and airway disorders
Centre Hospitalier Universitaire de Saint-Étienne
2016-2025
Inserm
2016-2025
Sorbonne Université
2016-2025
Sorbonne Paris Cité
2014-2025
Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé
2015-2024
Université Sorbonne Paris Nord
2015-2024
Département d'Informatique
2006-2024
Hospices Civils de Lyon
2017-2024
Santé Publique France
2005-2022
Université Paris Cité
2006-2020
Over a period of 5 years, the Innovative Medicines Initiative PROTECT (Pharmacoepidemiological Research on Outcomes Therapeutics by European ConsorTium) project has addressed key research questions relevant to science safety signal detection. The results studies conducted into quantitative detection in spontaneous reporting, clinical trial and electronic health records databases are summarised 39 recommendations have been formulated, many based comparative analyses across range (e.g....
Background: The Food and Drug Administration (FDA) in the United States European Medicines Agency (EMA) have recognized social media as a new data source to strengthen their activities regarding drug safety. Objective: Our objective ADR-PRISM project was provide text mining visualization tools explore corpus of posts extracted from media. We evaluated this approach on 21 million five patient forums, conducted qualitative analysis available methylphenidate corpus. Methods: applied methods...
Abstract The magnetic-field-induced metal non-metal transition has been studied in samples of n-type InSb with an excess donor concentration larger than 1014 cm−3 magnetic fields up to 200 kG and hydrostatic pressures 7·5 kbar. To identify the low-temperature conduction process (between 2 10 K) components conductivity tensor have deduced from transverse magnetoresistance Hall effect. No evidence for ε2 was obtained a plot log σ xx versus 1/T, either or without pressure. In zero field...
The metal-nonmetal transition in GaAs-${\mathrm{Ga}}_{1\mathrm{\ensuremath{-}}\mathrm{x}}$${\mathrm{Al}}_{\mathrm{x}}$As heterostructures has been investigated using electrical conductivity and Hall measurements the presence of a magnetic field hydrostatic pressure. binding energy magnetodonor, composed donor atoms electrons separated from each other by spacer, measured as function for different surface densities controlled A simple model is presented which accounts qualitatively observed effects.
WHO-ART and MedDRA are medical terminologies used for the coding of adverse drug reactions in pharmacovigilance databases. proposes 13 Special Search Categories (SSC) grouping terms associated to specific conditions. For instance, SSC "Haemorrhage" includes 346 among which 55 also terms. itself does not provide such groupings. Our main contention is possibility classifying semantic categories by using knowledge extracted from SNOMED CT. A previous paper presents way term definitions have...
Background: Adverse drug reactions (ADRs) are an important cause of morbidity and mortality. Classical Pharmacovigilance process is limited by underreporting which justifies the current interest in new knowledge sources such as social media. The Drug Reactions from Patient Reports Social Media (ADR-PRISM) project aims to extract ADRs reported patients these We identified 5 major challenges overcome operationalize analysis patient posts: (1) variable quality information on media, (2)...
The extraction of information from social media is an essential yet complicated step for data analysis in multiple domains. In this paper, we present Vigi4Med Scraper, a generic open source framework extracting structured web forums. Our highly configurable; using configuration file, the user can freely choose to extract any forum. extracted are anonymized and represented semantic structure Resource Description Framework (RDF) graphs. This representation enables efficient manipulation by...
Abstract Pharmacogenomics (PGx) studies how individual gene variations impact drug response phenotypes, which makes PGx-related knowledge a key component towards precision medicine. A significant part of the state-of-the-art in PGx is accumulated scientific publications, where it hardly reusable by humans or software. Natural language processing techniques have been developed to guide experts who curate this amount knowledge. But existing works are limited absence high quality annotated...
The 2288 AA cadmium absorption resonance line broadened by pressure effects of or krypton is analysed in the 2200-3000 spectral range. temperature dependence profile studied and interpreted framework quasi-static theory. Interatomic potentials are deduced. For Cd-Cd molecule, ground-state X 10g+ potential curve determined its attractive part for R=2.6-6.5 AA; well depth 410+or-30 cm-1 at Re=3.3+or-0.1 AA. 11u 10u+ excited-state respectively from 4.6 to 6.5 2.6 blue satellite 2214 connected a...
2014 Le profil d'absorption de la raie 1 849 Å du mercure autoélargie par effet pression a été déterminé entre 800 et 2 300 environ.La forme lorentzienne observée jusqu'à 400 cm-1 centre permis mesurer force d'oscillateur transition 6 1P1 ~ 1S0 : f = 1,04 ± 0,06.Au-delà l'étude l'évolution avec température préciser, sur certains domaines distances internucléaires, les potentiels d'interaction Vi(R) Hg(6 1S0)-Hg(6 1S0), V1(R) m 1)-Hg(6 V0(R) 0)-Hg(6 1S0).Les V1 Vi ont déterminés 4,2 en...
Social media are currently considered as a potential complementary source of knowledge for drug safety surveillance. Our primary objective was to estimate the frequency adverse reactions (ADRs) experienced by Twitter users. secondary determine whether tweets constitute valuable and informative data pharmacovigilance purposes, despite limitations on character number per tweet.We selected list 33 drugs subject careful monitoring due concern in France Europe, extracted using streaming API from...
Adverse drug reactions (ADRs) are statistically characterized within randomized clinical trials and postmarketing pharmacovigilance, but their molecular mechanism remains unknown in most cases. This is true even for hepatic or skin toxicities, which classically monitored during design. Aside from trials, many elements of knowledge about ingredients available open-access graphs, such as properties, interactions, involvements pathways. In addition, classifications that label drugs either...
In the context of PROTECT European project, we have developed an ontology adverse drug reactions (OntoADR) based on original MedDRA hierarchy and a query-based method to achieve automatic terms groupings for improving pharmacovigilance signal detection. Those were evaluated against standard handmade corresponding first priority safety topics. Our results demonstrate that this allows catching most present in reference groupings, suggest it could offer important saving time achievement...
Background: Social media have drawn attention for their potential use in Pharmacovigilance. Recent work showed that it is possible to extract information concerning adverse drug reactions (ADRs) from posts social media. The main objective of the Vigi4MED project was evaluate relevance and quality shared by patients on web forums about safety its utility pharmacovigilance. Methods: After selecting websites interest, we manually evaluated content pharmacovigilance related six drugs...