COVIDWAS

Data mining for the characterization of COVID patients and their fate

Underway

01/04/2020

Main objectives

Data mining for characterization of COVID patients and their outcomes
Use of multi-modal phenome-wide association study methods to identify characteristics and risk factors for worsening in COVID patients

#Covid | #Phenome-WideAssociation | #PheWas

Publications

Members

AP-HP, Imagine, Inria

Other projects

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,

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,