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Manuel Requena Ruiz

Institutions of which they are part

Postdoctoral researcher
Stroke research
Vall Hebron Institut de Recerca

Manuel Requena Ruiz

Institutions of which they are part

Postdoctoral researcher
Stroke research
Vall Hebron Institut de Recerca

Projects

Influencia de factores clínicos, marcadores de neuroimagen y parámetros de laboratorio en el control de la presión arterial tras una hemorragia intracerebral aguda

IP: David Rodriguez Luna
Collaborators: Noelia Rodríguez Villatoro, Manuel Requena Ruiz, Olalla Pancorbo Rosal
Funding agency: Instituto de Salud Carlos III
Funding: 40000
Reference: PI23/01061
Duration: 01/01/2024 - 31/12/2026

Direct to Angiography Suite Without Stopping for Computed Tomography Imaging for Patients With Acute Stroke A Randomized Clinical Trial

IP: Manuel Requena Ruiz
Collaborators: -
Funding agency: Fundación Mutual Médica
Funding: 3000
Reference: MUTUALMEDICA/PREMI/REQUENA
Duration: 25/11/2022 - 25/11/2022

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

Evaluación ultra-rápida en la sala de angiografía vs. tomografía convencional en la indicación del tratamiento endovascular del ictus agudo.

IP: Marc Ribó Jacobi
Collaborators: Manuel Requena Ruiz
Funding agency: Fundació Institut de Recerca HUVH
Funding: 42000
Reference: HUVH/BPFSE_RENOV/2020
Duration: 01/06/2020 - 31/05/2022

Related news

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.

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

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