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Marc Rodrigo Gisbert

Institutions of which they are part

Main researcher
Stroke research
Vall Hebron Institut de Recerca

Marc Rodrigo Gisbert

Institutions of which they are part

Main researcher
Stroke research
Vall Hebron Institut de Recerca

Projects

Early identification of intracranial atherosclerosis-related large vessel occlusion (ICAS-LVO) and implications in endovascular treatment

IP: Marc Ribó Jacobi
Collaborators: Marc Rodrigo Gisbert
Funding agency: Fundació Institut de Recerca HUVH
Funding: 59681.19
Reference: DORADO/2024/RODRIGO
Duration: 08/06/2024 - 07/06/2026

Optimització del tractament endovascular a l'ictus isquèmic agut

IP: Mª Ángeles Muchada López
Collaborators: Marc Rodrigo Gisbert, Laia Perez Lasarte
Funding agency: Fundació Institut de Recerca HUVH
Funding: 35000
Reference: CARLESM/MARC_RG
Duration: 08/06/2023 - 07/06/2024

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

NORA-HOME. EFICIENCIA Y SEGURIDAD DE UN MODELO DE MONITORIZACION MULTIMODAL AMBULATORIA EN PACIENTES CON ICTUS MINOR Y AITS.

IP: Mª Ángeles Muchada López
Collaborators: Carlos Molina Cateriano, Alvaro Garcia Tornel Garcia Camba, Marc Rodrigo Gisbert
Funding agency: Instituto de Salud Carlos III
Funding: 123420
Reference: PI22/01928
Duration: 01/01/2023 - 31/12/2025

Related news

The Stroke Research and the Neurovascular Diseases groups lead innovative research projects in both clinical and translational areas.

The team will develop a new medical tool to facilitate the removal of blood clots in blood vessels after a stroke in a safer and more effective manner.

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.

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