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Federica Rizzo

Institutions of which they are part

Predoctoral researcher
Stroke research
Vall Hebron Institut de Recerca

Federica Rizzo

Institutions of which they are part

Predoctoral researcher
Stroke research
Vall Hebron Institut de Recerca

Projects

ESCALA DE RIESGO DE ICTUS EN PACIENTES CON FIBRILACIÓN AURICULAR Y ANTICOAGULANTES ORALES DIRECTOS

IP: Jorge Pagola Pérez Blanca
Collaborators: José Alvarez Sabin, Noelia Rodríguez Villatoro, Jaume Francisco Pascual, Hug Cuellar Calabria, Ruben Fernández Galera, Federica Rizzo, Claudia Meza Burgos
Funding agency: Instituto de Salud Carlos III
Funding: 61250
Reference: PI24/00333
Duration: 01/01/2025 - 31/12/2027

PREDICTHOR: Predicción y mejora del resultado funcional en pacientes con ictus subagudo/crónico a través de telerehabilitación a domicilio basada en realidad virtual no invasiva

IP: Marta Aurora Rubiera Del Fueyo
Collaborators: Noelia Rodríguez Villatoro, Federica Rizzo
Funding agency: Instituto de Salud Carlos III
Funding: 158750
Reference: PI23/01680
Duration: 01/01/2024 - 31/12/2026

Clinical trial to evaluate the administration of ApTOLL in ambulances and the neuroprotective effect in stroke patients. RACETOLL

IP: Marc Ribó Jacobi
Collaborators: Marta Aurora Rubiera Del Fueyo, Carlos Molina Cateriano, Federica Rizzo
Funding agency: Ministerio de Ciencia e Innovación-MICINN
Funding: 437334
Reference: CPP2021-008378
Duration: 01/03/2022 - 30/09/2025

Ministerio de Ciencia

HARMONICS. Harmonization and Implementation of High Value Stroke Care

IP: Carlos Molina Cateriano
Collaborators: Maria Baladas Orti, Ester Sanchez Gavilan, Cristina Guirao Martinez, Marina Jimenez Iglesias, Lidia Garcia Guillamón, Federica Rizzo, Marta Aurora Rubiera Del Fueyo, David Rodriguez Luna, Manuel Requena Ruiz, Marta Olive Gadea, Alvaro Garcia Tornel Garcia Camba, Marc Rodrigo Gisbert, Olalla Pancorbo Rosal, Claudia Meza Burgos
Funding agency: EUROPEAN COMMISSION
Funding: 468090
Reference: HARMONICS_EIT-HEALTH-BP2022
Duration: 01/01/2022 - 31/12/2024

Related news

A retrospective study has been carried out with data from 11,000 patients to train artificial intelligence algorithms and adapt the Nora mobile application to different patient profiles.

This project seeks to promote the use of artificial intelligence in stroke treatment, improving data management, transparency and clinical monitoring of patients.

A new consortium of leading organizations embarks on a groundbreaking project to enhance patient triage and healthcare delivery.

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