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Català Santarrufina, Alba

Català Santarrufina, Alba

Institutions of which they are part

Research technician
Cardiovascular Diseases
Vall Hebron Institut de Recerca
Català Santarrufina, Alba

Català Santarrufina, Alba

Català Santarrufina, Alba

Institutions of which they are part

Research technician
Cardiovascular Diseases
Vall Hebron Institut de Recerca

Projects

Red Federada Para Acelerar La Aplicación De La Inteligencia Artificial En El Sistema Sanitario Español (TARTAGLIA) WP7

IP: Jose Fernando Rodríguez Palomares
Collaborators: Lydia Dux-Santoy Hurtado, Giorgio Colangelo, Andrea Guala, Javier Solsona Caravaca, Mireia Bragulat Arevalo, Alba Català Santarrufina, Santiago Martin Grieve
Funding agency: Ministerio de Asuntos Económicos y Transf Digital
Funding: 268649.45
Reference: MIA.2021.M02.0005_R.PALOMARES
Duration: 01/01/2021 - 31/12/2024

Logotip NGEU

ADAIR: New Approuch again Atherosclerosis

IP: Andrea Guala
Collaborators: Jose Fernando Rodríguez Palomares, Juan Garrido Oliver, Alba Català Santarrufina, Marta Ferrer Cornet
Funding agency: Ministerio de Ciencia e Innovación-MICINN
Funding: 190725
Reference: PLEC2021-007664
Duration: 01/09/2021 - 30/09/2025

Ministerio de Ciencia

Related news

Dr. José Fernando Rodríguez-Palomares

An innovative model to predict left ventricular thrombus after a heart attack

The study, which involved Vall d'Hebron, developed an action plan to efficiently allocate resources to patients most at risk of suffering this complication.

Dr. Jordi Bañeras i Dr. Eduard Ródenas

Pollution reduces the benefits of rehabilitation after a heart attack by 90%

In light of this evidence, hospitals such as Vall d'Hebron have already started to include warnings about environmental pollution in their hospital discharge plans after a myocardial infarction.

Calculadora risc cardiovascular dones

Vall d'Hebron develops a predictive model to calculate cardiovascular risk in women

Vall d'Hebron researchers have created a score based on multiple clinical variables and cardiac images, specific to women, to identify patients at risk of severe complications such as a heart attack or sudden death.

See more

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