HeartBrainCom

HeartBrainCom

A machine learning and big data model for assessing heart-brain comorbidity

OBJECTIVES

  • Investigate the links between cardiovascular, neurovascular and cognitive health using big data approaches
  • Build AI techniques for predictive modelling of brain and cognitive health conditioned on cardiovascular structure and function
  • Analyse and estimate the associations between vascular and brain aging

ROLES

  • Identify imaging signatures of the interlink between heart and brain health and disease
  • Implement causality-driven machine learning approaches to better understand the inter-link between cardiac, vascular, brain and cognitive health and disease

PARTNERS   

NO. INSTITUTION COUNTRY
1
University of Barcelona
Spain
earlycause-logo
earlycause-logo

Funding institution

Spanish Ministry of Science

Project number

2018-099898

Project budget

55 291,00 €

UB's budget

55 291,00 €

Project Coordinator

Karim Lekadir (BCN-AIM)

UB's Principal Investigator

Karim Lekadir

BCN-AIM's role

Project coordination

Mail

karim.lekadir@ub.edu