LSM (Liver Surgery Modelling)

Modeling of hepatic and systemic hemodynamics during liver surgery

In preparation

01/01/2022

Main objectives

Transposition to humans of a 0 D model to predict the evolution of the post-interventional portocaval gradient.

Modélisation de foie vascularisé (illustration) - © Inria / SHAMAN

Publications

Members

AP-HP, Inria

Other projects

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,

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,

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,