Philippe JEAN-PIERRE

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• Type de publi. : Article dans une revue
• Date de publi. : 01/02/2025
• Auteurs : Patrick GérardinRaïssa Medina SantosSigrid Le ClercLéa BruneauAdrien MaillotTaoufik LabibMyriam RahmouniJean-Louis SpadoniJean-Philippe MeynielClémence CornetCécile LefebvreNora El JahraniJakub SavaraMano Joseph MathewChristine FontaineChristine PayetNathalie Ah-YouCécile ChabertCorinne MussardSylvaine PorcheratSamir MedjaneJosselin NoirelCatherine MarimoutouHakim HociniJean-François Zagury
• Organismes : Centre d'Investigation Clinique de La Réunion - INSERM Laboratoire Génomique, bioinformatique et chimie moléculaire Laboratoire Génomique, bioinformatique et chimie moléculaire Centre Hospitalier Universitaire de La Réunion Centre Hospitalier Universitaire de La Réunion Laboratoire Génomique, bioinformatique et chimie moléculaire Laboratoire Génomique, bioinformatique et chimie moléculaire Laboratoire Génomique, bioinformatique et chimie moléculaire ISoft [Saint-Aubin] Aix-Marseille Université - École de maïeutique Institut Mondor de Recherche Biomédicale Vaccine Research Institute [Créteil, France] Institut Mondor de Recherche Biomédicale Vaccine Research Institute [Créteil, France] Efrei Research Lab Department of Computer Science [Ostrava] Univerzita Palackého [Olomouci] Efrei Research Lab Efrei (Villejuif / Bordeaux) Laboratoire Génomique, bioinformatique et chimie moléculaire CHU Sud Saint Pierre [Ile de la Réunion] CHU Sud Saint Pierre [Ile de la Réunion] Centre Hospitalier Universitaire de La Réunion CHU Sud Saint Pierre [Ile de la Réunion] Centre d'Investigation Clinique de La Réunion - INSERM Centre Hospitalier Universitaire de La Réunion Centre d'Investigation Clinique de La Réunion - INSERM Centre Hospitalier Universitaire de La Réunion CHU Sud Saint Pierre [Ile de la Réunion] Laboratoire Génomique, bioinformatique et chimie moléculaire Centre d'Investigation Clinique de La Réunion - INSERM CHU Sud Saint Pierre [Ile de la Réunion] Vaccine Research Institute [Créteil, France] Laboratoire Génomique, bioinformatique et chimie moléculaire
• Publié dans Travel Medicine and Infectious Disease le 25/10/2020

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Résumé : In 2005-2006, a chikungunya epidemic of unprecedented magnitude hit Reunion Island, which raised a public health concern through the substantial proportions of long-lasting manifestations. To understand the pathophysiology underlying chronic chikungunya (CC), we designed the CHIKGene cohort study and collected blood samples from 133 subjects diagnosed with CC and from 86 control individuals that had recovered within 3 months, 12-to-15 years after exposure.We conducted bulk RNAseq analysis on peripheral blood mononuclear cells to find differentially expressed genes (DEGs), gene set enrichment analysis (GSEA) and gene ontologies to uncover top-level enriched terms associated with DEGs, and weighted gene correlation network analysis (WGCNA) to elucidate underlying cellular processes.Among 1549 DEGs, gene expression analysis identified 10 top genes including NR4A2 and TRIM58 (upregulated in CC), IGHG3 and IGHV3-49 (downregulated in CC) linked to immune regulation, OSBP2 (upregulated in CC) and SEMA6B (downregulated in CC) linked to neuronal homeostasis and axon guidance, respectively. GSEA and WGCNA unveiled cellular processes such as "Metabolism of RNA" and "Cell Cycle”.This study uncovers a shift in gene expression of CC subjects. IGHG3 and IGHV3-49 gene shut-offs spotlight the importance of neutralizing antibodies against chikungunya virus in the progression to chronic disease. Human diseases associations highlight connections to rheumatoid arthritis, nervous and cardiac systems. GSEA and WGCNA bounce the hypotheses of a persistent viral reservoir or an increased susceptibility to RNA viral pathogens with new onset infections. Together, our findings might offer potential targets for therapeutic options aimed at alleviating chronic chikungunya.

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Fichiers liés : 1-s2.0-S1477893925000316-main.pdf

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• Type de publi. : Article dans une revue
• Date de publi. : 01/02/2025
• Auteurs : Pierre SenersJean-Claude BaronAnke WoutersJean‐philippe DesillesFernando PicoRichard MacrezJean Marc OlivotRobin LemmensGregory W AlbersMaarten Lansberg
• Organismes : Hôpital Fondation Adolphe de Rothschild = Adolphe de Rothschild Foundation Hospital Institut de psychiatrie et neurosciences de Paris French-Clinical Research Infrastructure Network - F-CRIN [Paris] Institut de psychiatrie et neurosciences de Paris Groupe hospitalier universitaire Paris psychiatrie & neurosciences [Paris] Catholic University of Leuven = Katholieke Universiteit Leuven Universitair Ziekenhuis Leuven = University Hospital of Leuven = Hopital universitaire de Louvain French-Clinical Research Infrastructure Network - F-CRIN [Paris] Hôpital Fondation Adolphe de Rothschild = Adolphe de Rothschild Foundation Hospital Optimisation thérapeutique en Neuropsychopharmacologie French-Clinical Research Infrastructure Network - F-CRIN [Paris] Centre Hospitalier de Versailles André Mignot Université Paris-Saclay French-Clinical Research Infrastructure Network - F-CRIN [Paris] Physiopathologie et imagerie des troubles neurologiques French-Clinical Research Infrastructure Network - F-CRIN [Paris] Centre d'investigation clinique de Toulouse Catholic University of Leuven = Katholieke Universiteit Leuven Universitair Ziekenhuis Leuven = University Hospital of Leuven = Hopital universitaire de Louvain Stanford University Stanford University
• Publié dans Stroke le 31/10/2020

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Résumé : Currently, most acute ischemic stroke patients presenting with a large vessel occlusion are first evaluated at a nonthrombectomy-capable center before transfer to a comprehensive stroke center that performs thrombectomy. Interfacility transfer is a complex process that requires extensive coordination between the referring, transporting, and receiving facilities. As a result, long delays are common, contributing to poor clinical outcomes. In this review, we summarize the accumulating literature about the clinical as well as radiological-infarct growth, collateral change, arterial recanalization, and hemorrhagic transformation-changes during interfacility transfer for thrombectomy. Recent evidence shows that clinical/radiological changes during transfer are heterogeneous across patients and impact long-term functional outcomes, highlighting the urgent need to optimize care during this time window. We review some of the most promising therapeutic strategies-for example, penumbral protection to reduce infarct growth-that may improve clinical outcome in patients being transferred to thrombectomy-capable centers. Finally, we discuss key methodological considerations for designing clinical trials aimed at reducing infarct growth during transfer.

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Fichiers liés : Seners et al Stroke 2025.pdf

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• Type de publi. : Article dans une revue
• Date de publi. : 01/02/2025
• Auteurs : Carlo FischerTongai Gibson MapongaAnges YadouletonNuro AbílioEmmanuel AbocePraise AdewumiPedro AfonsoJewelna AkorliSoa Fy AndriamandimbyLatifa AngaYvonne AshongMohamed Amine BeloufaAicha BensalemRichard BirtlesAnicet Luc Magloire BoumbaFreddie BwangaMike ChapondaParadzai ChibukiraR Matthew ChicoJustin ChilesheWonderful ChogaGershom ChongweAssana CisséFatoumata CisséUmberto D’alessandroXavier de LamballerieJoana de MoraisFawzi DerrarNdongo DiaYoussouf DiarraLassina DoumbiaChristian DrostenPhilippe DussartRichard EchoduAbdelmajid EloualidOusmane FayeTorsten FeldtAnna FrühaufSimani GaseitsiweAfiwa HalatokoEtuhole IipumbuPauliana-Vanessa IlougaNalia IsmaelRonan JambouSheikh JarjuAntje KampradBen KatowaJohn KayiwaLeonard King’waraOusmane KoitaVincent LacosteAdamou LagareOlfert LandtSonia Etenna Lekana-DoukiJean-Bernard Lekana-DoukiHugues LoembaTom LueddeJulius LutwamaSantou MamadouIssaka MamanBrendon ManyisaPedro MartinezJaphet MatobaLusia MhuuluAndrés Moreira-SotoSikhulile MoyoJudy MwangiNadine N’dilimabakaCharity Angella NassunaMamadou Ousmane NdiathEmmanuel NepoloRichard NjouomJalal NourlilSteven Ger NyanjomEddy Okoth OdariAlfred OkengJean Bienvenue OuobaMichael OwusuIrene Owusu DonkorKarabo Kristen PhaduRichard Odame PhillipsWolfgang PreiserPierre RoquesVurayai RuhanyaFortune SalahSourakatou SalifouAmadou Alpha SallAugustina Angelina SylverkenPaul Alain Tagnouokam-NgoupoZekiba TarnagdaFrancis Olivier TchikayaNoël TordoTafese Beyene TufaJan Felix Drexler
• Organismes : Freie Universität Berlin = Free University of Berlin Humboldt-Universität zu Berlin = Humboldt University of Berlin = Université Humboldt de Berlin Stellenbosch University National Health Laboratory Service [Johannesburg, South Africa] Laboratoire des Fièvres hémorragiques virales [Cotonou, Bénin] Instituto Nacional de Saude [Maputo, Mozambique] MBN Clinical Laboratories [Kampala, Uganda] Laboratoire des Fièvres hémorragiques virales [Cotonou, Bénin] Instituto Nacional de Investigação em Saúde - National Institute for Health [Luanda, Angola] Université du Ghana = University of Ghana Institut Pasteur de Madagascar Institut Pasteur du Maroc Université du Ghana = University of Ghana Institut Pasteur d'Algérie Institut Pasteur d'Algérie Gulu University [Gulu, Uganda] University of Salford Université Marien-Ngouabi [Université de Brazzaville] = Marien Ngouabi University [University of Brazzaville] Molecular Diagnostic Laboratory HDL [Pointe Noire, République Démocratique du Congo] MBN Clinical Laboratories [Kampala, Uganda] Makerere University [Kampala, Ouganda] Tropical Diseases Research Centre [Zambia] University of Zimbabwe London School of Hygiene & Tropical Medicine [Fajara, The Gambia] Tropical Diseases Research Centre [Zambia] Botswana Harvard AIDS Institute Partnership University of Botswana Tropical Diseases Research Centre [Zambia] Laboratoire National de Référence-Grippes [Ouagadougou, Burkina Faso] Institut Pasteur de Guinée London School of Hygiene & Tropical Medicine [Fajara, The Gambia] Unité des Virus Emergents Instituto Nacional de Investigação em Saúde - National Institute for Health [Luanda, Angola] Institut Pasteur d'Algérie Institut Pasteur de Dakar Université des Sciences, des Techniques et des Technologies de Bamako Université des Sciences, des Techniques et des Technologies de Bamako Freie Universität Berlin = Free University of Berlin Humboldt-Universität zu Berlin = Humboldt University of Berlin = Université Humboldt de Berlin German Centre for Infection Research Institut Pasteur de Madagascar Gulu University [Gulu, Uganda] Institut Pasteur du Maroc Institut Pasteur de Dakar University Hospital Düsseldorf Heinrich Heine Universität Düsseldorf = Heinrich Heine University [Düsseldorf] Freie Universität Berlin = Free University of Berlin Humboldt-Universität zu Berlin = Humboldt University of Berlin = Université Humboldt de Berlin Botswana Harvard AIDS Institute Partnership Harvard T.H. Chan School of Public Health Institut National D'Hygiène [Lomé, Togo] University of Namibia Centre Pasteur du Cameroun Instituto Nacional de Saude [Maputo, Mozambique] Centre de Recherche Médicale et Sanitaire [Niamey, Niger] London School of Hygiene & Tropical Medicine [Fajara, The Gambia] Freie Universität Berlin = Free University of Berlin Humboldt-Universität zu Berlin = Humboldt University of Berlin = Université Humboldt de Berlin Macha Research Trust [Macha, Zambia] Uganda Virus Research Institute Ministry of Health [Kenya] Université des Sciences, des Techniques et des Technologies de Bamako Institut Pasteur de Madagascar Centre de Recherche Médicale et Sanitaire [Niamey, Niger] TIB MOLBIOL GmbH [Berlin] Centre Interdisciplinaire de Recherches Médicales de Franceville Centre Interdisciplinaire de Recherches Médicales de Franceville Molecular Diagnostic Laboratory HDL [Pointe Noire, République Démocratique du Congo] University of Ottawa [Ottawa] University Hospital Düsseldorf Heinrich Heine Universität Düsseldorf = Heinrich Heine University [Düsseldorf] Uganda Virus Research Institute Centre de Recherche Médicale et Sanitaire [Niamey, Niger] Institut National D'Hygiène [Lomé, Togo] University of Zimbabwe Instituto Nacional de Investigação em Saúde - National Institute for Health [Luanda, Angola] Macha Research Trust [Macha, Zambia] University of Zambia [Lusaka] University of Namibia Freie Universität Berlin = Free University of Berlin Humboldt-Universität zu Berlin = Humboldt University of Berlin = Université Humboldt de Berlin Botswana Harvard AIDS Institute Partnership University of Botswana Harvard T.H. Chan School of Public Health University of Pretoria [South Africa] Stellenbosch University Gulu University [Gulu, Uganda] University of Salford Centre Interdisciplinaire de Recherches Médicales de Franceville Uganda Virus Research Institute London School of Hygiene & Tropical Medicine [Fajara, The Gambia] University of Namibia Centre Pasteur du Cameroun Institut Pasteur du Maroc Jomo Kenyatta University of Agriculture and Technology Jomo Kenyatta University of Agriculture and Technology MBN Clinical Laboratories [Kampala, Uganda] Laboratoire National de Référence-Grippes [Ouagadougou, Burkina Faso] Kumasi Centre for Collaborative Research in Tropical Medicine Université du Ghana = University of Ghana Stellenbosch University Kumasi Centre for Collaborative Research in Tropical Medicine Stellenbosch University National Health Laboratory Service [Johannesburg, South Africa] Institut Pasteur de Guinée Institut de Biologie François JACOB University of Zimbabwe Institut National D'Hygiène [Lomé, Togo] Ministère de la Santé - Ministry of Health [Cotonou, Bénin] Institut Pasteur de Dakar Kumasi Centre for Collaborative Research in Tropical Medicine Kwame Nkrumah University of Science and Technology Centre Pasteur du Cameroun Laboratoire National de Référence-Grippes [Ouagadougou, Burkina Faso] Molecular Diagnostic Laboratory HDL [Pointe Noire, République Démocratique du Congo] Institut Pasteur de Guinée University Hospital Düsseldorf Heinrich Heine Universität Düsseldorf = Heinrich Heine University [Düsseldorf] Freie Universität Berlin = Free University of Berlin Humboldt-Universität zu Berlin = Humboldt University of Berlin = Université Humboldt de Berlin German Centre for Infection Research
• Publié dans The Lancet global health le 26/10/2020

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Résumé : Background: In mid-November, 2021, the SARS-CoV-2 omicron variant (B.1.1.529; BA.1 sublineage) was detected in southern Africa, prompting international travel restrictions. We aimed to investigate the spread of omicron BA.1 in Africa. Methods: In this observational study, samples from patients infected with SARS-CoV-2 from 27 laboratories in 24 African countries, collected between June 1, 2021 and April 14, 2022, were tested for omicron BA.1 and delta (B.1.617.2) variants using real-time RT-PCR. Samples that tested positive for BA.1 by RT-PCR and were collected before estimated BA.1 emergence according to epidemiological properties were excluded from downstream analyses. The diagnostic precision of the assays was evaluated by high-throughput sequencing of samples from four countries. The observed spread of BA.1 was compared with mobility-based mathematical simulations and entries for SARS-CoV-2 in the Global Initiative on Sharing All Influenza Data (GISAID) genomic database. We estimated the effective reproduction number (Rt) at the country level considering the BA.1 fraction and the reported numbers of infections. Phylogeographical analyses were done in a Bayesian framework. Findings: Through testing of 13 294 samples from patients infected with SARS-CoV-2, we established that, by November-December, 2021, omicron BA.1 had replaced the delta variant of SARS-CoV-2 in all African subregions, following a south-north gradient, with a median Rt of 2·60 (95% CI 2·46-2·71). This south-north spread, established on the basis of PCR data, was substantiated by phylogeographical reconstructions, ancestral state reconstructions, and GISAID data. PCR-based reconstructions of country-level BA.1 predominance and the availability of BA.1 genomic sequences in GISAID correlated significantly in time (p=0·0002, r=0·78). The first detections of BA.1 in high-income settings beyond Africa were predicted accurately in time by mobility-based mathematical simulations (p<0·0001). Comparing PCR-based reconstructions with mobility-based mathematical simulations suggested that SARS-CoV-2 infections in Africa were under-reported by approximately ten times. Inbound travellers infected with BA.1, departing from five continents, were identified in six African countries by early December, 2021. Interpretation: Omicron BA.1 was widespread in Africa when travel bans were implemented, limiting their effectiveness. Combined with genomic surveillance and mobility-based mathematical modelling, PCR-based strategies can inform Rt and the geographical spread of emerging pathogens in a cost-effective and timely manner, and can guide evidence-based, non-pharmaceutical interventions such as travel restrictions or physical distancing.

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Fichiers liés : PIIS2214109X24004194.pdf

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• Type de publi. : Article dans une revue
• Date de publi. : 01/02/2025
• Auteurs : Aurélien DinhFrançois BarbierJean-Pierre BedosMathieu BlotVincent CattoirYann-Eric ClaessensXavier DuvalPierre FillâtreMaxime GautierYann GueganSophie JarraudAlban Le MonnierDavid LebeauxPaul LoubetConstance De MargeriePhilippe SerayetYacine Tandjaoui-LambotteEmmanuelle VaronYves WelkerDamien Basille
• Organismes : Hôpital Raymond Poincaré [AP-HP] Université Paris-Saclay Assistance publique - Hôpitaux de Paris (AP-HP) Service de réanimation [CH Versailles] Département d'infectiologie (CHU de Dijon) Centre Hospitalier Universitaire de Rennes [CHU Rennes] = Rennes University Hospital [Pontchaillou] ARN régulateurs bactériens et médecine Emergency department, Hospital Princesse Grace Centre hospitalier de Saint-Brieuc [Hôpital Yves Le Foll] ESCMID [Basel] Pathogenèse des légionelles- Legionella pathogenesis [CIRI] MICrobiologie de l'ALImentation au Service de la Santé Groupe Hospitalier Paris Saint-Joseph Service de Microbiologie [CHU GeorgesPompidou] Centre Hospitalier Universitaire de Nîmes Centre Hospitalier Régional Universitaire [Montpellier] Centre Hospitalier Intercommunal de Créteil Agents infectieux, résistance et chimiothérapie - UR UPJV 4294
• Publié dans Respiratory Medicine and Research le 28/10/2020

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Résumé : Community-Acquired Pneumonia (CAP) of Presumed Bacterial Origin: Updated Management Guidelines Community-acquired pneumonia (CAP) of presumed bacterial origin is a common condition with varying severity, requiring either outpatient, hospital, or even critical care management. The French Infectious Diseases Society (SPILF) and the French Language Pulmonology Society (SPLF), in collaboration with the French Societies of Microbiology (SFM), Emergency Medicine (SFMU), Radiology (SFR), and Intensive Care Medicine (SRLF), along with representatives of general practice, have coordinated an update of the previous management guidelines, which dated back to 2010. From a therapeutic perspective, the updated recommendations define the choice of initial empiric antibiotic therapy, indications for combination therapy, the use of anti-Pseudomonas beta-lactams, antibiotic treatment duration, and the indications and modalities for prescribing systemic corticosteroids. On a biological level, indications for biomarkers and microbiological investigations have been refined. Regarding imaging, the role of different modalities in the diagnosis and follow-up of CAP has been reassessed, including chest X-ray, pleuropulmonary ultrasound, and thoracic CT scan.

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Fichiers liés : 1-s2.0-S259004122500008X-main.pdf

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• Type de publi. : Article dans une revue
• Date de publi. : 01/02/2025
• Auteurs : Kim GénuitePierre VoinchetCarole NehmeDominique TodiscoJean-Jacques BahainDaniel BallesterosAndrew FarrantIgor GiraultJ. Michael GrapponeAnne PhilippeWilliam RapucDamase Mouralis
• Organismes : Environnements, Dynamiques et Territoires de Montagne De la Préhistoire à l'Actuel : Culture, Environnement et Anthropologie Histoire naturelle de l'Homme préhistorique Identité et Différenciation de l’Espace, de l’Environnement et des Sociétés Identité et Différenciation de l’Espace, de l’Environnement et des Sociétés Université de Rouen Normandie Histoire naturelle de l'Homme préhistorique Identité et Différenciation de l’Espace, de l’Environnement et des Sociétés British Geological Survey Histoire naturelle de l'Homme préhistorique University of Liverpool Nantes Université Environnements, Dynamiques et Territoires de Montagne Durham University Identité et Différenciation de l’Espace, de l’Environnement et des Sociétés
• Publié dans Quaternary Science Reviews le 27/10/2020

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Résumé : In this paper we present a detailed Quaternary evolution model of the Seine valley (France). The lower Seine valley contains very specific preserved morphological features (semi-entrenched meander cut-offs) and develops in a karstified chalky plateau (Normandy Chalk). Regional geomorphological features make it possible to combine geomorphological observations, petrological investigations as well as cross-dating analysis of fluvial sediments and karstic archives. We have reviewed former chronological data through a combination of different dating methods including ESR, U-series as well as palaeomagnetism. We also present here new dating results from both cave deposits and fluvial terrace sediments through the combined use of quartz ESR dating method and palaeomagnetism. The obtained results show river evolution extending over the entire Quaternary period. The gentle incision rate and its variations highlight the influence of climate and eustatic processes, hence a partially climate-induced uplift. Results also provide new chronological markers on the fluvial deposits for future archaeological research.

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• Type de publi. : Article dans une revue
• Date de publi. : 01/02/2025
• Auteurs : Thomas BallulVito SabatoPeter ValentOlivier HermineOlivier LortholaryJulien RossignolThomas BallulVito SabatoCristina Bulai LivideanuAntoine NeurazJulie AgopianFabienne BrenetPatrice DubreuilDidier EboMichiel BeyensRichard LemalOlivier TournilhacLouis TerriouDavid LaunayLaurence BouilletCatharina ChatainClément GourguechonGandhi DamajStéphane DuruptCeline GrecoLaurent FrenzelChristine Bodemer-SkandalisLaura PolivkaMarine MadrangeCécile MeniHassiba BouktitAnne Florence BellaisJean-Marc DurandMarie GousseffEdwige Le MouelMohamed HamidouAntoine NéelDana RantaMathilde NiaultAurélie SchiffmannStéphane BareteMichel ArockDanielle CanioniThierry Jo MolinaJulie BruneauMélanie VaesViolaine HavelangeHassan FaourNicolas GarcelonRose-Marie JavierFabien PelletierFlorence CastelainDenis VincentFrédérique RetornazQuentin CabreraPatricia ZunicPhilippe GuilpainMarie Pierre GourinJean François ViallardChristian LavigneCyrille HoarauLudovic LhermitteMaël HeibligRoland JaussaudPeter ValentOlivier HermineOlivier LortholaryJulien Rossignol
• Organismes : Translational Research in Autoimmunity and Inflammation Group
• Publié dans EClinicalMedicine le 01/11/2020

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• Type de publi. : Autre publication
• Date de publi. : 01/02/2025
• Auteurs : Henri AtlanCatherine BourgainHerve ChneiweissFrançois EisingerCatherine VidalFrédérique LesaulnierMarion AbecassisPhilippe RavaudGhislaine FilliatreauIoana AndreescuRodolphe ThiebautIsabelle Remy-JouetLotfi SenhadjiValérie UrbachMurielle GaudryAnita BurgunJean CharletPierre-Antoine Gourraud
• Organismes : Comité d'éthique de l'Inserm = The Inserm Ethics Committee Comité d'éthique de l'Inserm = The Inserm Ethics Committee Comité d'éthique de l'Inserm = The Inserm Ethics Committee Comité d'éthique de l'Inserm = The Inserm Ethics Committee Comité d'éthique de l'Inserm = The Inserm Ethics Committee Comité d'éthique de l'Inserm = The Inserm Ethics Committee Comité d'éthique de l'Inserm = The Inserm Ethics Committee Le Programme LORIER de l'Inserm = The Inserm LORIER program Le Programme LORIER de l'Inserm = The Inserm LORIER program Le Programme LORIER de l'Inserm = The Inserm LORIER program Conseil scientifique de l'Inserm = Inserm Scientific Council Conseil scientifique de l'Inserm = Inserm Scientific Council Conseil scientifique de l'Inserm = Inserm Scientific Council Conseil scientifique de l'Inserm = Inserm Scientific Council Conseil scientifique de l'Inserm = Inserm Scientific Council Service d'informatique médicale et biostatistiques [CHU Necker] Imagine - Institut des maladies génétiques (IHU) Assistance publique - Hôpitaux de Paris (AP-HP) Laboratoire d'Informatique Médicale et Ingénierie des Connaissances en e-Santé Centre de Recherche en Transplantation et Immunologie - Center for Research in Transplantation and Translational Immunology Clinique des Données [Nantes]

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Résumé : 1- Divulgation et Transparence : 1.1 Divulgation naïve : les scientifiques doivent prendre garde à la diffusion non maitrisée de données (perte de la confidentialité des données) comme de la diffusion de données non maitrisées (hallucinations, données non sourcées) quel que soit l’outil numérique utilisé. 1.2 Publication scientifique : les chercheurs doivent indiquer explicitement l'utilisation de systèmes d’intelligence artificielle (SIA) dans leurs travaux (outils, algorithmes, paramètres) et distinguer les contributions obtenues via les SIA de celles qui sont le fruit de leur activité créative. Dans les publications, une section "Utilisation de SIA" doit détailler le rôle des SIA, à l'instar des logiciels utilisés pour les analyses statistiques. Un guide pratique et des références seront élaborés et disponibles sur le portail LORIER. 1.3 Administration de la recherche et fonctions supports : la transparence doit aussi concerner toutes les autres utilisations de SIA à l’Inserm, en particulier dans le secteur des ressources humaines (recrutements, traitement des carrières...). 2- Attribution et modèles transparents : les scientifiques doivent publier les détails des modèles de SIA (données d’entraînement, versions) qu’ils créent ou utilisent, et assurer leur archivage à long terme pour les études de réplication. Ils doivent aussi favoriser les modèles permettant de travailler dans le respect des bonnes pratiques éthiques, en particulier la citation des sources de données, et encourager des usages académiques de la science ouverte. 3- Utilisation de données synthétiques : les scientifiques de l’Inserm sont encouragés à développer l'utilisation de données synthétiques qui permettraient de limiter les risques concernant la ré-identification des participants à une recherche (anonymat au sens CNIL/G291/EDPB2), tout en assurant la vérisimilitude, leur adéquation à un ensemble d’utilisation secondaires et la diversité des données, et en évitant les biais qui pourraient compromettre la recherche. Ce recours aux données synthétiques anonymes mises en qualité permet de plus dans certains cas d’enrichir les jeux de données, en particulier dans les domaines où les données réelles sont rares ou sensibles. 4- Vérification des résultats des SIA : la responsabilité de l'exactitude des analyses générées à l’aide de SIA incombe à ses utilisateurs et en particulier aux chercheurs, qui doivent en valider la fiabilité et identifier les biais potentiels. Les personnels sont invités à bien tester la reproductibilité et la fiabilité des modèles d’IA en 1) comparant les résultats obtenus avec différents jeux de données et 2) testant les résultats obtenus avec différents algorithmes d’IA. La création d’une cellule nationale et transversale sur les usages du numérique pour les sciences pour la santé à l’Inserm3 pourrait centraliser les informations de suivi (collecte de détection des biais et solutions trouvées) et aider à la formulation de l’offre de formation pour appuyer cette démarche. Compte-tenu de l’évolution rapide des SIA et des pratiques, une réflexion continue est nécessaire impliquant le Comité d’éthique, le Conseil scientifique et le programme LORIER. 5- Documentation des données des SIA : les données générées à l’aide de SIA doivent être clairement identifiées pour éviter toute confusion avec des observations réelles. Les chercheurs doivent garantir la traçabilité des données des SIA utilisées dans les études. 6- Intégrité et équité : les chercheurs doivent chercher à anticiper les impacts sociaux des SIA. Ils doivent se former aux règles légales, notamment en matière de protection des données et de respect des droits de propriété. Une vigilance particulière est requise pour les groupes sous-représentés ou historiquement discriminés. 7- Contrôle, solutions alternatives et engagement public : une surveillance continue de l’impact sociétal de l’usage des SIA est essentielle. L’emploi des SIA en recherche a un impact environnemental. Ils doivent donc être utilisés avec parcimonie et dans des contextes d’intérêt certain. Les SIA utilisant un jeu de données réduit et moins de paramètres, par exemple les Small Language Models (SLMs), représentent une IA frugale et sobre. Ce développement de SIA responsables peut également contribuer à améliorer la souveraineté numérique. La cellule nationale et transversale sur les usages du numérique pour les sciences pour la santé à l’Inserm pourrait recueillir les retours d’expérience et développer une culture de la transparence sur les usages des SIA. 8- Formation continue : former tous les personnels, scientifiques et administratifs, au numérique et à l’usage des SIA, ses principes et limites, est crucial pour une utilisation éclairée et responsable. 9- Passeport des données de santé : un "passeport de données" documentant l'origine, la qualité et les biais des données permettrait leur réutilisation responsable. 10- Portail de transparence : un portail donnerait aux participants aux recherches menées à l’Inserm une visibilité sur l’utilisation de leurs données de santé, assurant transparence, conformité réglementaire et flexibilité pour la recherche.

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Fichiers liés : Guide de bonnes pratiques de l'IA à l'Inserm fev2025 v2- FR - corrigée.pdf

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• Type de publi. : Article dans une revue
• Date de publi. : 01/02/2025
• Auteurs : Alexander FuchsNicola DismaThomas EngelhardtVanessa MarchesiniThomas RiedelKrisztina BodaWalid HabreThomas RivaFrancis VeyckemansKatalin ViragTom HansenKarin Becke-JakobPierre HarletLaszlo VutskitsSuellen WalkerJurgen de GraaffMarzena ZielinskaDusica SimicChristian BreschanRudolf LikarManuela PlatzerIsole EdelmanJohanes EgerStefan HeschlBrigitte MessererMaria VittinghofRuth KroessMartina StichlbergerDavid KahnThierry PirotteCaroline PregardienFrancis VeyckemansFrance StevensJohan BerghmansAnnemie BautersLuc de BaerdemaekerStefan de HertKoen LapageAliaksandra ParashchankaJurgen van LimmenPiet WyffelsJulie LauwerynsNadia NajafiJoris VundelinckxDiana ButkovićIvana Kerovec SorićSandra KralikAna MarkićJosip AzmanJosko MarkicDaniela PupacicMichal FrelichPetr ReimerRené UrbanecPetra CajkováVladimír MixaYvona SedláčkováLenka KnoppováAlena Zlámalová (neé Květoňová)Martin VavřinaJiří ŽurekTom HansenArash AfshariAnders Bastholm BilleMarguerite EllekvistMari-Liis IlmojaReet MoorReet KikasMerle VäliKariantti KallioElisa ReponenPertti SuominenSami SuvantoRaisa VähätaloHannu KokkiMerja KokkiJarkko HarjuMiia KokkonenJenni VieriTuula MannerCatherine AmoryHugues LudotDina BertJuliette GodartAnne LaffargueHervé DupontBenjamin UrbinaCatherine BaujardPhilippe RoulleauGiuseppe StaitiMaryline BordesKarine Nouette GaulainYann HamonicFrançois SemjenOlivier JacqmarcqCaroline Lejus-BourdeauCécile MagneLéa PetryLilica RosAurélien ZangMehdi BennisBernard CoustetsRose FesseauIsabelle ConstantEliane KhalilNada SabourdinNoemie AudrenThomas DescarpentriesFanny FabreAurélien LegrandEmilie DruotGilles OrliaguetLucie SabauLynn UhrigFrançois de La BrièreKarin JonckheerJean-Paul MissionLucia ScordoCaroline CouchepinChristophe DadurePablo de la ArenaLaurent HertzPhilippe PiratChrystelle SolaMyriam BellonSouhayl DahmaniFlorence Julien-MarsollierDaphne MicheletVeronique Depret-DonatienAnne LesageJost KaufmannMichael LaschatFrank WapplerKarin BeckeLena BrunnerKarin OppenriederGregor BadeltKarin HochmuthBernhard KollerAnita ReilSebastian RichterThomas FischerAnja DiersClemens SchorerAndreas WeylandRuth CohauszFranz-Josef KretzMichaela LöfflerMarkus WilbsClaudia HoehneJohanna UlriciChristiane GoetersArmin FlinspachMatthias KlagesSimone LindauLeila MessroghliKai ZacharowskiChristoph EisnerThomas MuellerDaniel RichterMelanie SchäferMarkus WeigandSebastian WeitererMiriam OchsenreiterMichael SchölerTom TerbovenIsabel EggemannSascha HaussmannNicolas LeisterChristoph MenzelUwe TrieschmannSirin YücetepeSusanna KeiligPeter KrankeYvonne JeltingTorsten BaehnerRichard EllerkmannShahab GhamariClaudia NeumannMartin SöhlePelagia ChloropoulouVagia NtritsouPinelopi PapagiannopoulouEleana GariniAfroditi KarafotiaPanagoula MammiEvangelia BaliDespoina IordanidouAnna MalisiovaArtemis PolyzoiAdelais TsiotouErzsebet SapiEdgar SzékelyNandor KosikVeronika MarácziJanos SchnurJudit CsillagJános GálGergely GöblBalázs HauserAndrás PetróczyGyula TövisháziStuart BlainSarah GallagherSinead HarteMandy JacksonEmma MeehanZeenat NawoorBrendan O'HareMark RossDaniela LerroMarinella AstutoChiara GrassoRita ScalisiGiulia FrasaccoElena LenaresRoberto LeoneMaurizia GrazziniCarmelo MinardiNicola ZadraGilda CinnellaAntonella CotoiaDario GalanteBrita de LorenzoBeate KuppersGiulia BottazziFabio CaramelliMaria Cristina MondardiniEmanuele RossettiSergio PicardoAlessandro VittoriAnna CamporesiEdoardo CalderiniLaura Brigitta ColantonioSimona Anna FinamoreGiuliana Anna PorroRachele BonfiglioNicola DismaSvetlana KotzevaLeila MameliGirolamo MattioliCamilla MicalizziAlessia MontagutiAngela PistorioClelia ZanaboniAnna GuddoGerald Rogan NebaMoreno FavaratoBruno Guido LocatelliMicol MaffiolettiValter SonzogniRossella GarraMaria SammartinoFabio SbaragliaAndrea CortegianiAlessandra MoscarelliElena AttanasiSimonetta TesoroCristina AgapitiFrancesca PinzoniCesare VezzoliFederico BilottaArta BarzdinaZane StraumeAnda ZundaneLaura LukosieneIrena MaraulaiteIlona RazleviceBernd SchmitzStephanie MifsudCarolin AehlingCelia AllisonRients de BoerDina EmalMarkus StevensMarielle BuitenhuisJurgen de GraaffInge de LiefdeAndreas MachottaGail ScoonesLonneke StaalsJeremy TomasAnouk van der Knijff-van DortmontMarianne VeldhuizenDavid AldersWolfgang BuhreEva SchafratJan SchreiberPetronella Mari VermeulenMark HendriksSandra LakoMarieke Voet-LindnerBarbe PietersGert-Jan SchefferLuc TielensAnthony AbsalomMargot BergsmaJoke de RuiterSascha MeierMartin VolkersTjerk ZweersAnne BeukersChrista BoerJurgen DertingerSandra NumanBas van ZaaneWenche BoerkeNil EkizKristoffer StensrudInger Marie DrageErik Ramon IsernAlicja Bartkowska-SniatkowskaMalgorzata GrzeskowiakMagdalena Juzwa-SobierajJowita Rosada-KurasińskaArtur BaranowskiKarina JakubowskaDorota LewandowskaMagdalena Mierzewska-SchmidtPiotr SawickiMagdalena Urban-LechowiczPomianek PrzemyslawMarzena ZielinskaTeresa LealMaria SoaresPedro PinaSílvia PinhoMaria Domingas PatuleiaCatarina Cruz EstevesHelena SalgadoMaria João SantosRodica BadetiIulia CindeaLoredana OanaAdriana GuritaLuminita IlieGabriel MocioiuRadu TabacaruIrina TranteValentin MunteanuMihai MorariuEmese NyíriIvana BudicVesna MarjanovicBiljana DraškovićMarina PandurovJordanka IlicAna MandrasZdenka RadosNikola StankovicMaja SuicaSladjana VasiljevicMirjana KnezevicIrina MilojevicIvana PetrovSelena Puric RacicDusica SimicIrena SimicMarija StevicIrena VulicevicBanská BystricaBarbora CabanováMiloslav HanulaJelena BergerDarja JanjatovicŠpela Pirtovšek ŠtupnikDolores MéndezGema PinoPaloma RubioAlberto IzquierdoSilvia LópezCristina González SerranoJesús CebriánAna PeleteiroPilar del Rey de DiegoErnesto Martínez GarcíaCarolina Tormo de las HerasPablo Troncoso MonteroCelia ArbonaDavid ArtésAlicia ChamizoSilvia SerranoMontserrat Suarez ComasFrancisco EscribáCristina AuliOsvaldo Pérez PardoNatalia Sierra BiddleCeferina Suárez CastañoMaría Isabel Villalobos RicoSusana Manrique MuñozIrene García MartínezNuria Montferrer EstruchElena Vilardell OrtízRodrigo Poves-ÁlvarezIvan KohnUlf LindestamJarl ReinhardAlbert CastellheimKerstin SandströmSporre BengtRainer DörenbergPeter FrykholmMaria GarciaAnn KvarnströmEmma PonténThomas BruelisauerGabor ErdoesHeiko KaiserMathias MarchonThomas RivaStefan SeilerYann BögliMirko DolciCarine MarcucciWalid HabreIsabelle PichonLaszlo VutskitsMattias CasuttMartin HölzleThomas HurniMartin JöhrAnna-Ursina MalärJacqueline MauchThomas ErbKarin OeinckMine AkinGulsen KeskinYesim SenayliGuner KayaPinar KendigelenAyse Çiğdem TutuncuZehra HatipoğluDilek ÖzcengizHale Aksu ErdostElvan ÖçmenÇimen OlgunerHilmi AyanogluPelin Corman DincerTumay UmurogluMustafa AzizogluHandan BirbiçerNurcan DorukAslı SagunSibel BarisDmytro DmytriievSridevi KuchiNuria MasipPeter BrooksAlison HareNargis AhmadMichelle CaseySam de SilvaNadine DobbyPrakash KrishnanL. Amaki SogbodjorEllie WalkerSuellen WalkerStephanie KingKaty NicholsonMichelle QuinneyPaul StevensAndrew BlevinMariangela GiombiniChulananda GoonasekeraSadia AdilStephanie BewCarol BodlaniDan GilpinStephanie JinksNalini MalarkkanAlice MiskovicRebecca PadJuliet Wolfe BarryJoy AbbottJames ArmstrongNatalie CooperLindsay CrateJohn EmeryKathryn JamesHannah KingPaul MartinStefano Scalia CatenacciRob BomontPaul SmithSara MeleAlessandra VerzelloniPhilippa DixGraham BellElena GordevaLesley MckeeEsther NganJutta ScheffczikLi-En TanMark WorrallCarmel CassarKevin GoddardVictoria BarlowVimmi OshanKhairi ShahSarah BellLisa DanielsMonica GandhiDavid PachterChris PerryAndrew RobertsonCarmen ScottLynne WaringDavid BarnesSophie ChildsJoanne NormanRobin SunderlandDowell JuliaFeijten PriscaHarlet PierreHerbineaux SarahLeva BrigittePlichon BenoîtVirág Katalin
• Organismes : Technische Universität Munchen - Technical University Munich - Université Technique de Munich Istituto Giannina Gaslini, Genova McGill University Health Center [Montreal] Leibniz-Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH / Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures German Center for Infection Research - partner site Hannover-Braunschweig Hôpitaux Universitaires de Genève = University Hospital of Geneva [Genève] Bern University Hospital [Berne] Hôpital Jeanne de Flandres University of Szeged [Szeged] University of Oslo Geneva University Hospitals and Geneva University Great Ormond Street Hospital for Children [London] Eramus MC-Sophia Children’s Hospital Wrocław Medical University University of Belgrade [Belgrade] Klinikum Klagenfurt am Wörthersee Klinikum Klagenfurt am Wörthersee CHU Amiens-Picardie Simplification des soins chez les patients complexes - UR UPJV 7518 CHU Amiens-Picardie
• Publié dans British Journal of Anaesthesia le 28/10/2020

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Résumé : Background: Optimal ventilation strategies and use of neuromuscular blocking agents (NMBAs) in neonates and small infants undergoing anaesthesia remain unclear. We examined the association of perioperative ventilation strategies and administration of NMBAs on respiratory adverse events in the NEonate-Children sTudy of Anaesthesia pRactice IN Europe (NECTARINE) cohort. Methods: We performed a secondary analysis of NECTARINE, which included infants up to 60 weeks' postmenstrual age undergoing anaesthesia for surgical or diagnostic procedures. The primary endpoint was the association between ventilation mode and intraoperative respiratory adverse events. Secondary endpoints were use of NMBA, and 30-day postoperative pulmonary complications (PPCs). Results: The dataset comprised 5609 patients undergoing 6542 procedures. Pressure-controlled ventilation was the primary ventilation modality, accounting for 52.4% (n=3428) of cases. The incidence of intraoperative respiratory critical events was 20.7% (95% confidence interval [CI] 19.7-21.7%), while PPCs were observed in 17% of cases (95% CI 16.0-18.1%). Preanaesthesia respiratory conditions and NMBA use after tracheal intubation were associated with higher incidence of PPCs. Of the children receiving NMBAs, reversal was reported in 29.8%. The absence of reversal was associated with a higher incidence of PPCs, with a relative risk of 1.50 (95% CI 1.17-1.93). Conversely, NMBA reversal was associated with a reduced relative risk of 0.43 (95% CI 0.26-0.70). Conclusions: Regardless of ventilation strategy used, mechanical ventilation and baseline respiratory conditions were risk factors for a greater incidence of adverse respiratory events and PPCs. Reversal of NMBAs before tracheal extubation was significantly associated with reduced PPCs in neonates and should be routine clinical practice.

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• Type de publi. : Article dans une revue
• Date de publi. : 01/02/2025
• Auteurs : Andrea VarazzaniLaura TogninPierre CorrePierre BouletreauJean-Philippe PerrinGiorgia MenapaceMichela BergonzaniGiuseppe PedrazziMarilena AnghinoniTito Poli
• Organismes : Hospices Civils de Lyon Università degli studi di Parma = University of Parma Università degli studi di Parma = University of Parma Centre Hospitalier Universitaire de Nantes = Nantes University Hospital Regenerative Medicine and Skeleton Hospices Civils de Lyon Centre Hospitalier Universitaire de Nantes = Nantes University Hospital Università degli studi di Parma = University of Parma Università degli studi di Parma = University of Parma Università degli studi di Parma = University of Parma Università degli studi di Parma = University of Parma Università degli studi di Parma = University of Parma
• Publié dans Journal of Stomatology, Oral and Maxillofacial Surgery le 25/10/2020

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Résumé : Objectives: The development of 3D computer-assisted technologies over the past years has led to vast improvements in orthognathic surgery. The aim of the present study was to evaluate differences in maxillary position between 3D virtual surgical planning (VSP) and surgical results. Materials and methods: We assessed data from 25 patients who underwent bimaxillary non-segmented orthognathic surgery with 3D VSP. Each patient underwent a postoperative CT scan within 40 days after surgery. We compared the STL (Standard Triangulation Language) file from the VSP with that obtained from the postoperative CT. Results: According to our comparative analysis, the postoperative and VSP 3D models did not statistically differ. The Lin concordance correlation coefficient was always >0.95 for each landmark, but in 21 patients (84 % of the sample) we identified at least one point with a difference of more than 1.5 mm between the postoperative and VSP 3D model on at least one axis. The most frequently observed differences corresponded to sagittal translation and pitch rotation. Conclusions: An intraoperative clinical and aesthetic evaluation of the consequences of bone movements on patient face is strongly recommended, also when we use VSP because we may have clinically significant differences from the planning.

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• Type de publi. : Autre publication
• Date de publi. : 01/02/2025
• Auteurs : Henri AtlanCatherine BourgainHerve ChneiweissFrançois EisingerCatherine VidalFrédérique LesaulnierMarion AbecassisPhilippe RavaudGhislaine FilliatreauIoana AndreescuRodolphe ThiebautIsabelle Remy-JouetLotfi SenhadjiValérie UrbachMurielle GaudryAnita BurgunJean CharletPierre-Antoine Gourraud
• Organismes : Comité d'éthique de l'Inserm = The Inserm Ethics Committee Comité d'éthique de l'Inserm = The Inserm Ethics Committee Comité d'éthique de l'Inserm = The Inserm Ethics Committee Comité d'éthique de l'Inserm = The Inserm Ethics Committee Comité d'éthique de l'Inserm = The Inserm Ethics Committee Comité d'éthique de l'Inserm = The Inserm Ethics Committee Comité d'éthique de l'Inserm = The Inserm Ethics Committee Le Programme LORIER de l'Inserm = The Inserm LORIER program Le Programme LORIER de l'Inserm = The Inserm LORIER program Le Programme LORIER de l'Inserm = The Inserm LORIER program Conseil scientifique de l'Inserm = Inserm Scientific Council Conseil scientifique de l'Inserm = Inserm Scientific Council Conseil scientifique de l'Inserm = Inserm Scientific Council Conseil scientifique de l'Inserm = Inserm Scientific Council Conseil scientifique de l'Inserm = Inserm Scientific Council Service d'informatique médicale et biostatistiques [CHU Necker] Imagine - Institut des maladies génétiques (IHU) Assistance publique - Hôpitaux de Paris (AP-HP) Laboratoire d'Informatique Médicale et Ingénierie des Connaissances en e-Santé Centre de Recherche en Transplantation et Immunologie - Center for Research in Transplantation and Translational Immunology Clinique des Données [Nantes]

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Résumé : 1- Disclosure and transparency: 1.1 Naive disclosure: Scientists must be careful about not just the uncontrolled dissemination of data (loss of data confidentiality), but also the dissemination of uncontrolled data (hallucinations, unsourced data), regardless of the digital tool used. 1.2 Scientific publication: Researchers must explicitly mention the use of artificial intelligence (AI) systems in their work (tools, algorithms, parameters) and distinguish the contributions obtained using AI systems from those derived from their creative activity. In publications, a "Use of AI systems" section must detail the role of AI systems, like the software used for statistical analyses. A practical guide and references will be prepared and made available on the LORIER portal. 1.3 Research administration and support: Transparency must also apply to all other uses of AI systems at Inserm, particularly in the Human Resources sector (recruitment, careers, etc.). 2- Attribution and transparent models: Scientists must publish the details of the AI system models (training data, versions) they create or use, and ensure their long-term archiving for replication studies. They must also promote models that enable working in compliance with good ethical practices – particularly the citation of data sources, and encourage academic uses of open science. 3- Use of synthetic data: Inserm scientists are encouraged to develop the use of synthetic data that would limit the risks of research participant re-identification (anonymity within the meaning of CNIL/G291/EDPB2), while ensuring the verisimilitude of the data, their suitability for a set of secondary uses and their diversity, avoiding biases that could compromise the research. This use of qualitative anonymous synthetic data also makes it possible in certain cases to enrich datasets, particularly in areas where real data are scarce or sensitive. 4- Verification of AI system findings: Responsibility for the accuracy of the analyses generated using AI systems lies with their users and particularly the researchers, who must validate their reliability and identify potential biases. Staff are invited to thoroughly test the reproducibility and reliability of AI models by 1) comparing the findings obtained with different datasets and 2) testing the findings obtained with different AI algorithms. The creation of a national cross-cutting unit on the use of digital technologies for science for health at Inserm3 could centralize follow-up information (collection of bias detections and solutions found) and help formulate the training provision in order to support this approach. Given the rapid changes occurring in AI systems and practices, continuous reflection is necessary – involving the Ethics Committee, the Scientific Advisory Board, and the LORIER program. 5- Documentation of AI system data: Data generated using AI systems must be clearly identified to avoid any confusion with real observations. Researchers must guarantee the traceability of the AI system data used in the studies. 6- Integrity and equity: Researchers must seek to anticipate the social impacts of AI systems. They must be trained in the legal rules, particularly regarding data protection and respect for property rights. Particular vigilance is required for under-represented or historically discriminated groups. 7- Monitoring, alternative solutions and public engagement: Continuous surveillance of the societal impact of AI system use is essential. The use of AI systems in research has an environmental impact. Such systems must therefore be used sparingly and in contexts of certain relevance. AI systems using a reduced dataset and fewer parameters, such as Small Language Models (SLMs), represent frugal and sober AI. This development of responsible AI systems can also contribute to improving digital sovereignty. The national cross-cutting unit on the use of digital technologies for science for health at Inserm could gather feedback and develop a culture of transparency surrounding the uses of AI systems. 8- Continuous training: Training all staff, both scientific and administrative, in digital technologies and the use of AI systems, their principles and limits, is crucial for informed and responsible use. 9- Health data passport: A "data passport" documenting the origin, quality and biases of the data would enable their responsible reuse. 10- Transparency portal: A portal would give participants in research conducted at Inserm visibility over the use of their health data, thereby ensuring transparency, regulatory compliance and flexibility for research.

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Fichiers liés : Best practice recommendations using AI in Inserm Research Feb2025_v2 EN corrected.pdf

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