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Carlos Molina Cateriano

Institutions of which they are part

Head of group
Stroke research
Vall Hebron Institut de Recerca

Carlos Molina Cateriano

Institutions of which they are part

Head of group
Stroke research
Vall Hebron Institut de Recerca

Projects

Tenecteplase versus Alteplase for Stroke Thrombolysis Evaluation (TASTE) Trial

IP: Carlos Molina Cateriano
Collaborators: Marta Aurora Rubiera Del Fueyo, David Rodriguez Luna, Mª Ángeles Muchada López
Funding agency: National Health and Medical Res Council (NHMR
Funding: 1950
Reference: TASTE_HMRI2012101
Duration: 19/04/2017 - 16/04/2018

TEMPO-2: Ensayo controlado aleatorizado de TNK-tPA frente a las normas asistenciales para accidente cerebrovascular isquémico menor con oclusión demostrada.

IP: Carlos Molina Cateriano
Collaborators: -
Funding agency: University of Calgary
Funding: 45000
Reference: TEMPO2_CIHR2016
Duration: 01/09/2016 - 31/12/2025

Malalties Neurovasculars (GRC)

IP: Joan Montaner Villalonga
Collaborators: Marta Aurora Rubiera Del Fueyo, Jorge Pagola Pérez Blanca, José Alvarez Sabin, Anna Penalba Morenilla, Maria Mar Hernandez Guillamon, Marc Ribó Jacobi, Maria Pilar Delgado Martínez, Carlos Molina Cateriano, Anna Rosell Novel, David Rodriguez Luna, Mª Ángeles Muchada López, Estevo Santamarina Pérez, Manuel Quintana Luque
Funding agency: Agència Gestió Ajuts Universitaris i de Recerca
Funding: 48000
Reference: 2014 SGR 686
Duration: 01/01/2014 - 31/12/2016

Malalties neurovasculars

IP: Carlos Molina Cateriano
Collaborators: Laia Perez Lasarte
Funding agency: Instituto de Salud Carlos III
Funding: 53732
Reference: CM13/00265
Duration: 24/01/2014 - 23/01/2016

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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