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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

INVICTUS

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
Funding agency: Instituto de Salud Carlos III
Funding: 247695.66
Reference: RD12/0014/0005
Duration: 01/01/2013 - 31/03/2017

Malalties neurovasculars

IP: Carlos Molina Cateriano
Collaborators: -
Funding agency: Instituto de Salud Carlos III
Funding: 30000
Reference: INT12/295
Duration: 01/01/2013 - 31/12/2013

Impacto de la evaluación neurovascular y determinación de biomarcadores en el diagnóstico pre-hospitalario del ictus hiperagudo

IP: Carlos Molina Cateriano
Collaborators: Marta Aurora Rubiera Del Fueyo, Jorge Pagola Pérez Blanca, Anna Penalba Morenilla, Maria Pilar Meler Amella
Funding agency: Instituto de Salud Carlos III
Funding: 108075.99
Reference: PI11/01677
Duration: 01/01/2012 - 31/12/2014

European Stroke Research Network for Hypothermia (EUROHYP-1) Grant Agreement nº 278709

IP: Carlos Molina Cateriano
Collaborators: Marta Aurora Rubiera Del Fueyo, Jorge Pagola Pérez Blanca, Estela Sanjuan Menendez, Marc Ribó Jacobi, Maria Pilar Meler Amella, David Rodriguez Luna, Mª Ángeles Muchada López
Funding agency: EUROPEAN COMMISSION
Funding: 655474
Reference: 'EUROHYP-1_FP7HEALTH2011
Duration: 01/02/2012 - 31/07/2018

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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