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 |
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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
