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Olalla Pancorbo Rosal

Institutions of which they are part

Research technician
Stroke research
Vall Hebron Institut de Recerca

Olalla Pancorbo Rosal

Institutions of which they are part

Research technician
Stroke research
Vall Hebron Institut de Recerca

Projects

Biomarcadores séricos predictivos de epilepsia tras una hemorragia cerebral aguda

IP: LAURA ABRAIRA DEL FRESNO
Collaborators: Anna Penalba Morenilla, Manuel Toledo Argany, Olalla Pancorbo Rosal, Estevo Santamarina Pérez, Manuel Quintana Luque
Funding agency: Instituto de Salud Carlos III
Funding: 102500
Reference: PI24/01233
Duration: 01/01/2025 - 31/12/2027

UMBRELLA: Unleashing a CoMprehensive, Holistic and Patient Centric Stroke Management for a Better, Rapid, AdvancEd and PersonaLised Stroke Diagnosis, TreAtment and Outcome Prediction

IP: Carlos Molina Cateriano
Collaborators: Olalla Pancorbo Rosal, David Rodriguez Luna, Estela Sanjuan Menendez, Carolina Paredes Deiros, Giorgio Colangelo, Laura Rivera Sanchez, Mª Ángeles Muchada López
Funding agency: EUROPEAN COMMISSION
Funding: 1856250
Reference: UMBRELLA_HE_IHI2024
Duration: 01/10/2024 - 30/09/2029

EAST-STROKE: Early treatment of Atrial fibrillation for Stroke prevention Trial in acute STROKE

IP: Carlos Molina Cateriano
Collaborators: Olalla Pancorbo Rosal, Carole Conforti
Funding agency: EUROPEAN COMMISSION
Funding: 1131945
Reference: EASTSTROKE_HE-HLTH-2024
Duration: 01/12/2024 - 30/11/2030

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

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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