Research structure | laboratory Daniel Bernoulli

AI-RACLES Chair

Description

Artificial intelligence for the evaluation of profiles, trajectories and management of vulnerability in health: COVID-19, frailty of the elderly and cancer

Names of partners involved
AP-HP, Inria, CentraleSupélec

#ApprentissageSupervisé, #ArtificialIntelligence, #Cancer, #CarePathway, #Clustering, #ComplexData, #DataFusion, #DeepLearning, #Fragilité, #Fragility, #ParcoursDesoins, #Phénotypage, #Phenotyping, #SupervisedLearning,

ARAMIS (Project-Team)

Description

Algorithms, models and methods for images and signals of the healthy and pathological human brain

Names of partners involved
ICM, Inria, CNRS, Inserm, Sorbonne Université

#ArtificialIntelligence, #BrainDisorders, #ComplexNetworks, #DeepLearning, #MachineLearning, #MultimodalData, #NeuroImaging,

BOPA Chair

Description

Innovation Chair “Augmented Operating Room”

Names of partners involved
AP-HP, Inria, Institut Mines-Télécom, Université de Paris-Saclay, Chaire Humanité et Santé du CNAM

#BlocOpératoire, #Chirurgie, #OperatingRoom, #Surgery,

COVIPREDS

Description

US Caractérisation et prédiction de la survenue de formes graves ou létales du COVID-19 à partir des données issues de l’EDS de l’AP-HP

Names of partners involved
AP-HP, Inria & Centrale Supélec

#DataMining,

HEKA (Project Team)

Description

Health data- and model- driven Knowledge Acquisition

Names of partners involved
Inria, Inserm, Université de Paris, AP-HP, Institut Imagine

#AideALaDécisionClinique, #AppliedMathematics, #ApprochesStochastiques, #ApprochesSupervisées, #BioStatistics, #Biostatistiques, #ClinicalDecisionSupport, #ClinicalTrialsOfTheFuture, #EssaisCliniquesduFutur, #InformatiqueMédicale, #MathématiquesAppliquées, #MedicalInformatics, #Phénotypage, #Phenotyping, #StochasticMethods, #SupervisedMethods,

Hépatinov (university hospital federation)

Description

Innovations in Hepatology

Names of partners involved
Les hôpitaux de l’AP-HP Paul-Brousse, Antoine-Béclère, Bicêtre, Ambroise-Paré, Raymond-Poincaré et l’Institut Gustave-Roussy. Les laboratoires Physiopathogenèse et Traitement des Maladies du Foie (UMR-S 1193), Interactions entre les cellules souches et leurs niches en physiologie, cancé...

#FHU, #LiverDiseases, #MaladieHépatique, #RechercheTranslationnelle, #TranslationalResearch,

Peri’Op Chair

Description

Creation and operation of a Perioperative Health Data Warehouse within the AP-HP EDS to detect, prevent and monitor cardiovascular and neurocognitive complications

Names of partners involved
AP-HP, Inria

#Anesthesia-Resuscitation, #Anesthésie-Réanimation, #ApprentissageStatistique, #CardiovascularRisk, #CriticalCare, #LearningStatistics, #NeurocognitiveRisk, #Phénotypage, #Phenotyping, #RisqueCardioVasculaire, #RisqueNeuroCognitif, #SoinsCritiques,

PROMICE (university hospital federation)

Description

(PRecision medicine for cOMprehensIve care of Critically ill patiEnts)

Names of partners involved
AP-HP, Inserm, Inria, CNRS, Université Catholique de Lyon et Ecole pratique des hautes études, Université de Paris, Ecole Polytechnique, Réseau recherche SFAR , GREAT Network, INI CRCT, ACTERREA, ARDS Foundation, Association France Rein, Philips HealthCare, Radiometer, 4-TEE, Capgemini, Adre...

#Anesthesia-Resuscitation, #Anesthésie-Réanimation, #CriticalCare, #DigitalTwin, #FHU, #JumeauNumérique, #SoinsCritiques,

R2D2

Description

US from clinical Records 2 Diagnostic Decisions

Names of partners involved
AP-HP, Inria, Inserm, Université de Paris

#AIforHealth, #ApprentissageSupervisé, #ClinicalGuidelines, #diagnostic, #DossierPatientInformatisé, #ElectronicPatientRecord, #evaluation, #ExplanatoryAI, #IAenSanté, #IAexplicative, #SupervisedLearning,

SENEC (university hospital federation)

Description

Understanding SENEsCence to improve life course health trajectory

Names of partners involved
INSERM, INRIA, AP-HP, INRA, CNRS, ENSAM, UPEC, Université Paris Saclay, Fondation PremUp, ANSES Partenaires privés : OPALE , MITOLOGICS , GREENPHARMA S.A.S , METABRAIN RESEARCH , SANOFI, CHIC

#MaladieChronique, #MédecineTranslationnelle, #Sénescence,