Zobrazeno 1 - 10
of 245
pro vyhledávání: '"Marie Christine Jaulent"'
Autor:
Robert Barouki, Joël Ankri, Patrick Maison, Christiane Druml, Valérie Sautou, Eric Bellissant, Laëtitia Belgodère, Dominique Pougheon Bertrand, Marie Christine Jaulent, Vololona Rabeharisoa, Walter Janssens, Victoria Rollason, Janine Barbot, Jean Paul Vernant, Wahiba Oualikene Gonin, Henri Bastos, Éric Ezan, Didier Houssin, Maria Emilia Monteiro, Marie-Christine Jaulent, Jean-Paul Vernant
Publikováno v:
BMJ Global Health, Vol 8, Iss 5 (2023)
Externí odkaz:
https://doaj.org/article/9e4277cfecbe4f3ba9f8cc1003f6b78d
Autor:
Wahiba Oualikene-Gonin, Marie-Christine Jaulent, Jean-Pierre Thierry, Sofia Oliveira-Martins, Laetitia Belgodère, Patrick Maison, Joël Ankri, The Scientific Advisory Board of ANSM
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
Artificial intelligence tools promise transformative impacts in drug development. Regulatory agencies face challenges in integrating AI while ensuring reliability and safety in clinical trial approvals, drug marketing authorizations, and post-market
Externí odkaz:
https://doaj.org/article/e9a66d962c6945b595e71f8d02bb1e6b
Autor:
Pierre Karapetiantz, Bissan Audeh, Akram Redjdal, Théophile Tiffet, Cédric Bousquet, Marie-Christine Jaulent
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e46176 (2024)
BackgroundTo mitigate safety concerns, regulatory agencies must make informed decisions regarding drug usage and adverse drug events (ADEs). The primary pharmacovigilance data stem from spontaneous reports by health care professionals. However, under
Externí odkaz:
https://doaj.org/article/5e66e7b044654d0a946fa5cf2d9dba40
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 13, Iss 1, Pp 1-9 (2018)
Abstract Background Patient information in rare disease registries is generally collected from numerous data sources, necessitating the data to be federated. In addition, data for research purposes must be de-identified. Transforming nominative data
Externí odkaz:
https://doaj.org/article/d31b0b9799054caf9df93615c5f7df83
Publikováno v:
Frontiers in Pharmacology, Vol 10 (2019)
Background: Formal definitions allow selecting terms (e.g., identifying all terms related to “Infectious disease” using the query “has causative agent organism”) and terminological reasoning (e.g., “hepatitis B” is a “hepatitis” and i
Externí odkaz:
https://doaj.org/article/593ef8cb993f47bba12046daceacd79b
Autor:
Pantelis Natsiavas, Andigoni Malousi, Cédric Bousquet, Marie-Christine Jaulent, Vassilis Koutkias
Publikováno v:
Frontiers in Pharmacology, Vol 10 (2019)
Drug Safety (DS) is a domain with significant public health and social impact. Knowledge Engineering (KE) is the Computer Science discipline elaborating on methods and tools for developing “knowledge-intensive” systems, depending on a conceptual
Externí odkaz:
https://doaj.org/article/38f1ec5f7bc9448497f42ef0762fe0cc
Autor:
Julien Souvignet, Gunnar Declerck, Béatrice Trombert-Paviot, Hadyl Asfari, Marie-Christine Jaulent, Cédric Bousquet
Publikováno v:
Frontiers in Pharmacology, Vol 10 (2019)
Background: Searching into the MedDRA terminology is usually limited to a hierarchical search, and/or a string search. Our objective was to compare user performances when using a new kind of user interface enabling semantic queries versus classical m
Externí odkaz:
https://doaj.org/article/db6d217f6a6940a0921b1deb1e91c8b8
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
Transfer Learning (TL) is an approach which has not yet been widely investigated in healthcare, mostly applied in image data. This study outlines a TL pipeline leveraging Individual Case Safety reports (ICSRs) and Electronic Health Records (EHR), app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8fb09a7fef1a962c5df3896c822eb27
https://doi.org/10.3233/shti230158
https://doi.org/10.3233/shti230158
Publikováno v:
Frontiers in Pharmacology, Vol 9 (2018)
Signal detection and management is a key activity in pharmacovigilance (PV). When a new PV signal is identified, the respective information is publicly communicated in the form of periodic newsletters or reports by organizations that monitor and inve
Externí odkaz:
https://doaj.org/article/7eec883af49a4ecebd7afadda86fdf78
Autor:
Pierre Karapetiantz, Florelle Bellet, Bissan Audeh, Jérémy Lardon, Damien Leprovost, Rim Aboukhamis, François Morlane-Hondère, Cyril Grouin, Anita Burgun, Sandrine Katsahian, Marie-Christine Jaulent, Marie-Noëlle Beyens, Agnès Lillo-Le Louët, Cédric Bousquet
Publikováno v:
Frontiers in Pharmacology, Vol 9 (2018)
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 in social media. The main objective of the V
Externí odkaz:
https://doaj.org/article/9b11f08352b04dbebe0377fc315647f9