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Marc Ribó Jacobi

Institutions of which they are part

Main researcher
Stroke research
Vall Hebron Institut de Recerca

Marc Ribó Jacobi

Institutions of which they are part

Main researcher
Stroke research
Vall Hebron Institut de Recerca

Projects

NexTOLL: A Phase IIb Clinical Trial to evaluate the neuroprotective effect of ApTOLL in stroke patients

IP: Marc Ribó Jacobi
Collaborators: Marta Aurora Rubiera Del Fueyo, Jorge Pagola Pérez Blanca, Carlos Molina Cateriano, Mª Ángeles Muchada López
Funding agency: Ministerio de Ciencia e Innovación-MICINN
Funding: 498435
Reference: CPP2022-009778
Duration: 09/03/2023 - 08/03/2026

Ministerio de Ciencia

ARTERIAL: una herramienta de inteligencia artificial para la planificación del tratamiento endovascular del ictus.

IP: Marc Ribó Jacobi
Collaborators: Miriam Izquierdo Sans
Funding agency: Instituto de Salud Carlos III
Funding: 60000
Reference: INT22/00109
Duration: 01/01/2023 - 31/12/2024

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

Development and validation of an artificial intelligence model for the prehospital management of patients with a suspected acute ischemic stroke

IP: Marc Ribó Jacobi
Collaborators: Alvaro Garcia Tornel Garcia Camba, Development and validation of an artificial intelligence model for the prehospital management of patients with a suspected acute
Funding agency: Instituto de Salud Carlos III
Funding: 180000
Reference: JR22/00046
Duration: 01/01/2023 - 31/12/2026

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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