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Jose Fernando Rodríguez Palomares

Institutions of which they are part

Main researcher
Cardiovascular Diseases
Vall Hebron Institut de Recerca

Jose Fernando Rodríguez Palomares

Institutions of which they are part

Main researcher
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: Javier Solsona Caravaca, Mireia Bragulat Arevalo, Alba Català Santarrufina, Lydia Dux-Santoy Hurtado, Giorgio Colangelo , Andrea Guala , 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, Marta Ferrer Cornet, Alba Català Santarrufina
Funding agency: Ministerio Ciencia, Innovación y Universidades
Funding: 190725
Reference: PLEC2021-007664
Duration: 01/09/2021 - 30/09/2025

Ministerio de Ciencia

RESULTADOS EN PACIENTES ADULTOS CON VÁLVULA AÓRTICA BICÚSPIDE: PREDICTORES DE DEGENERACIÓN VALVULAR Y DILATACIÓN AÓRTICA BASADOS EN ANOMALÍAS DE FLUJO AÓRTICO Y ACTIVIDAD BIOMECÁNICA Y METABÓLICA.

IP: Jose Fernando Rodríguez Palomares
Collaborators: -
Funding agency: Sociedad Española de Cardiologia
Funding: 15000
Reference: SEC/INV.CLINICA/2021/RODRIGUEZ
Duration: 27/10/2021 - 26/10/2022

CARdiomyopathy in type 2 DIAbetes mellitus

IP: Jose Fernando Rodríguez Palomares
Collaborators: Ignacio Ferreira González, Macarena Lorente Coppola
Funding agency: EUROPEAN COMMISSION
Funding: 50879.1
Reference: CARDIATEAM_JF.RODRIGUEZ_H2020_2017
Duration: 01/03/2019 - 28/02/2026

Related news

The study, with the participation of VHIR, will analyse the physiological response of the human body thanks to data collected by smartwatches and wearable devices.

The award-winning studies open new avenues for preventing arrhythmias caused by air pollution and for developing new therapeutic strategies against heart failure.

Researchers incorporate advanced cardiovascular prediction algorithms into cardiac imaging software, enabling the automatic calculation of the risk of serious complications during the routine analysis of cardiac studies.

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