Projects | laboratory Daniel Bernoulli

AlphaBrain

Description

Augmented brain monitoring solution for general anesthesia to reduce the risk of postoperative complications

Names of partners involved
AP-HP, Inria (équipe-projet MIND, ex PARIETAL)

#AI, #Anesthesia-iItensiveCare, #Brain, #EnhancedMonitoring, #Monitorage augmenté, #Startup,

AnaestAssist

Description

Augmented hemodynamic monitoring solution coupled with an alert and decision support tool to reduce the risk of intraoperative complications

Names of partners involved
AP-HP, Inria (M3DISIM, joint projet-team with Ecole Polytechnique)

#Anesthesia-Resuscitation, #Anesthésie-Réanimation, #AugmentedMonitoring, #cardiCardiovascular, #Cardiovasculaire, #CriticalCare, #DigitalTwin, #JumeauNumérique, #Monitorage augmenté, #SoinsCritiques, #Startup,

APPRIMAGE

Description

Large-scale validation of a machine learning method for diagnostic support from brain MRI data

Names of partners involved
Equipe-projet ARAMIS, Inria, CNRS, Inserm, Sorbonne Université, Institut du Cerveau Service de neuroradiologie diagnostique et fonctionnelle, DMU DIAMENT, Hôpital de la Pitié-Salpêtrière, AP-HP. Service de neurologie, IM2A, DMU Neurosciences, Hôpital de la Pitié-Salpêtrière, AP-HP.

#BrainMRI, #EDS-APHP, #IRMCérébrale, #MachineLearning, #MaladieNeurologique, #NeurologicalDisease, #Neuroradiologie, #neuroradiology,

CLARITI

Description

Automated CLassification of PET/CT scans using ArtIficial InTelligence

Names of partners involved
Inria, AP-HP

#DeepLearning, #EDS-APHP, #MédecineNucléaire, #NuclearMedicine, #Oncologie, #Oncology, #PETscan, #TEP,

CLASSTHEP

Description

Classification des tumeurs intrahépatiques par méthode faiblement supervisée à partir de biopsies de routine

Names of partners involved
AP-HP - Inria - CentraleSupelec

#AI, #BioMarkers, #EDS-APHP, #Imagomics, #LiverCancer, #MedicalImaging, #Oncology,

COMETH

Description

Innovative benchmarking approaches to improve COmputational METHods for big data analysis in Health

Names of partners involved
AP-HP, Inria, UGA et université de Barcelone, Heidelberg University Hospital

#Anapath, #Benchmark,

CoRea

Description

Optimization of ventilation of covid patients in intensive care

Names of partners involved
AP-HP, Inria (COMMEDIA)

#AnaesthesiaReanimation, #Covid, #CriticalCare,

COVIDOM

Description

Remote Monitoring of patients with a mild to moderate form of Covid-19 infection using a telemedicine application

Names of partners involved
AP-HP, Inria

#Covid, #Télésurveillance #RemoteMonitoring,

COVIDWAS

Description

Data mining for the characterization of COVID patients and their fate

Names of partners involved
AP-HP, Imagine, Inria

#Covid, #Phenome-WideAssociation, #PheWas,

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,

COVIPREDS

Description

Characterization and prediction of the occurrence of severe or lethal forms of COVID-19 using data from the AP-HP DHS

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

#Covid, #DataMining,

DAICAP HDH

Description

Development of an algorithm to obtain a standardized MRI CR with a prediction of tumor aggressiveness

Names of partners involved
AP-HP, Inria, CHRU de Lille, Hospices Civils de Lyon, CHU de Bordeaux, CHU de Strasbourg, Incepto, Medinria

#CancerProstate, #EDS-APHP, #IA, #IRM, #NeuronNetwork, #RéseauDeNeurones,

DEEP PATIENT

Description

Learning a deep representation of patient records for event prediction and patient segmentation

Names of partners involved
AP-HP, Inria

#DeepLearning, #DeepPatient,

EEG Perf

Description

Frontal EEG monitoring of cerebral perfusion (Bernoulli Fellowship)

Names of partners involved
AP-HP, Inria

#Anesthesia-intensiveCare, #Anesthesia-Resuscitation, #MachineLearning, #PersonalizedMedicine, #PrecisionMedicine,

ELCAPA-EDS

Description

Care trajectories of elderly cancer patients and associated clinical-biological profiles

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

#Cancer, #CausalInference, #Clustering, #EDS-APHP, #Fragility, #NLP, #ParcoursDesoins,

EUCAIM

Description

EUropean Federation for CAncer Images

Names of partners involved
Consortium coordinated by EIBIR, bringing together 76 partners from 14 countries, including AP-HP and Inria.

#AI, #Atlas, #Cancer, #Europe, #FederatedInfrastructure, #MedicalImaging,

EVALHEP

Description

EValuation of Hepatic Lesion Removal by ElectroPoration

Names of partners involved
AP-HP, Inria

#Cancer, #HepatocellularCarcinoma, #IrreversibleElectroporation, #LiverCancer,

Guiding brain surgery with evoked electrophysiology

Description

The goal is to use direct electrical stimulation (DES) evoked electrophysiology of the brain during brain surgery to diagnose and determine the location of the tumor or epileptogenic zone and to better understand online anatomical connectivity to guide surgery in awake patients or those under general anesthesia

Names of partners involved
AP-HP, Inria, Hôpital Gui de Chauliac (Montpellier), Kobe University Graduate School of Medicine, Japan

#ConnectivitéEnLigne, #électrodiagnostique, #ElectrophysiologieEvoquée, #ImagerieCérébrale, #Modélisation, #MonitoringIntraOpératoireNeural, #Neurochirurgie,

INTERCEPT-T2D

Description

Inflammation and the risk trajectory of complications in diabetics

Names of partners involved
Consortium coordinated by INSERM, bringing together 12 partners, including AP-HP and Inria.

#AI, #Diabète, #EDS-APHP, #Europe,

LSM (Liver Surgery Modelling)

Description

Modeling of hepatic and systemic hemodynamics during liver surgery

Names of partners involved
AP-HP, Inria

#0DModel, #DigitalTwin, #HemodynamicModeling, #HepaticSurgery, #Modèle0D, #PatientSpecific,

Matricis.ai

Description

Detection of endometriosis lesions from MRI images

Names of partners involved
AP-HP, Inria

#AI, #DeepLearning, #EDS-APHP, #Endometriosis, #ImageSegmentation, #MRI,

NEPA

Description

Numerical assessment of novel percutaneous ElectroPoration-based therapies for deep-seated tumor Ablation

Names of partners involved
AP-HP, Inria (Equipe MONC)

#DeepSeatedTumors, #HCC, #IrreversibleElectroporation, #MathematicalAndNumericalTools,

OPTISOINS

Description

How to optimize the care pathways of patients undergoing carcinological lung resection surgery?

Names of partners involved
CentraleSupelec, CHIC, AP-HP, Inria

#CancerPoumon, #Carcinologie, #EDS-APHP, #ExérèsePulmonaire, #ParcoursDesoins,

PAIMRI

Description

Development of an AI algorithm for prostate MRI interpretation

Names of partners involved
Inria, Université Côté d'Azur, AP-HP

#CancerProstate, #EDS-APHP, #IRM, #RéseauDeNeurones,

PARK-AI

Description

Differential Diagnosis of Parkinsonian syndromes using artifical intelligence and multimodal MRI

Names of partners involved
AP-HP, Inria, CNRS, Inserm, Sorbonne Université, Institut du Cerveau

#ArtificialIntelligence, #BrainDisorders, #IRMCérébrale, #MachineLearning, #MaladieDeParkinson, #MaladieNeurologique, #MultimodalData, #Neuroradiologie, #SyndromeParkisonienAtypique,

PRE-LIA

Description

Prognostic prediction of primary brain lymphoma using artificial intelligence analysis of MRI scans

Names of partners involved
AP-HP, Inria

#BrainTumor, #Cancer, #Lymphoma, #MRI, #PrimaryBrainLymphoma,

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,

SCIKIT EDS

Description

Development of R&D tools on AP-HP massive data platform

Names of partners involved
AP-HP, Inria

#Covid, #EDS-APHP, #MachineLearning, #Open-Source, #OutilDeVisualisation, #VisualizationTool,

ShareFAIR

Description

Characterization and comparison of clinical pathways extracted from electronic health records

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

#ClinicalPathways, #EHR,

SMARTLOOP

Description

Machine learning for optimizing the management of patients with suspected digestive obstruction

Names of partners involved
AP-HP, Sorbonne Center for Artificial Intelligence (SCAI), Inria, Groupe Hospitalier Paris Saint-Joseph

#DigestiveObstruction, #MachineLearning,

SPRING

Description

to develop a social assistant robot capable of offering multimodal support to elderly people when they come to the hospital

Names of partners involved
Inria, HERIOT-WATT University, Bar Ilan University, Universita Degli Studi di Trento, Université Technique de Prague, AP-HP, ERM Automatismes Industriels, PAL Robotics

##NeurocognitiveDisorder, #Geriatrics, #Gériatrie, #RobotSocialAssistant, #SAR, #TroubleNeurocognitif,