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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

European Stroke Research Network

IP: Joan Montaner Villalonga
Collaborators: José Alvarez Sabin, Carlos Molina Cateriano, Anna Rosell Novel
Funding agency: Ministerio de Ciencia e Innovación-MICINN
Funding: 97000
Reference: EUS2008-03610
Duration: 01/01/2009 - 28/02/2013

Ministerio de Ciencia

Grup de Recerca en Malalties Neurovasculars

IP: Joan Montaner Villalonga
Collaborators: Raquel Arias Gonzalez, José Alvarez Sabin, Anna Penalba Morenilla, Maria Mar Hernandez Guillamon, Marc Ribó Jacobi, Maria Pilar Delgado Martínez, Carlos Molina Cateriano, Anna Rosell Novel, Manuel Quintana Luque
Funding agency: Agència Gestió Ajuts Universitaris i de Recerca
Funding: 46800
Reference: 2009 SGR 432
Duration: 01/01/2010 - 30/04/2014

Comprehensive Stroke Center de la Universitat d'Alabama, Birminghan

IP: Carlos Molina Cateriano
Collaborators: Marta Aurora Rubiera Del Fueyo
Funding agency: Instituto de Salud Carlos III
Funding: 6750
Reference: CM07EST/00082
Duration: 15/07/2008 - 28/02/2009

Estrategias para mejorar la eficacia y seguridad del tratamiento con Simvastatina en la Fase Aguda del Ictus Isquémico: STARS trial

IP: Joan Montaner Villalonga
Collaborators: Marta Aurora Rubiera Del Fueyo, José Alvarez Sabin, Anna Penalba Morenilla, Maria Mar Hernandez Guillamon, Olga Maisterra Santos, Marc Ribó Jacobi, Maria Pilar Delgado Martínez, Carlos Molina Cateriano, Estevo Santamarina Pérez
Funding agency: Instituto de Salud Carlos III
Funding: 175450
Reference: EC07/90195
Duration: 01/11/2007 - 30/06/2012

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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