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Nicoletta Brunelli

Institutions of which they are part

Research technician
Stroke research
Vall Hebron Institut de Recerca

Nicoletta Brunelli

Institutions of which they are part

Research technician
Stroke research
Vall Hebron Institut de Recerca

Projects

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: Estela Sanjuan Menendez, Laura Rivera Sanchez, Carolina Paredes Deiros, Olalla Pancorbo Rosal, Gabriela Isabel Fuentes Llopis, David Rodriguez Luna, Mª Ángeles Muchada López, Giorgio Colangelo , Renato Simonetti , Nicoletta Brunelli
Funding agency: EUROPEAN COMMISSION
Funding: 1856250
Reference: UMBRELLA_MOLINA_IHI2024
Duration: 01/10/2024 - 30/09/2029

NORA-HOME. EFICIENCIA Y SEGURIDAD DE UN MODELO DE MONITORIZACION MULTIMODAL AMBULATORIA EN PACIENTES CON ICTUS MINOR Y AITS.

IP: Mª Ángeles Muchada López
Collaborators: Carlos Molina Cateriano, Alvaro Garcia Tornel Garcia Camba, Nicoletta Brunelli
Funding agency: Instituto de Salud Carlos III
Funding: 123420
Reference: PI22/01928
Duration: 01/01/2023 - 30/06/2027

TRUSTroke: TRUSTWORTHY PREDICTION OF STROKE OUTCOME ON A FEDERATED LEARNING INFRASTRUCTURE

IP: Carlos Molina Cateriano
Collaborators: Maria Teresa Rodriguez Acebes, Marta Aurora Rubiera del Fueyo, Maria del Pilar Saez Hernandez, Estela Sanjuan Menendez, Lara Pellicer Arroyo, Laura Rivera Sanchez, Maria Baladas Orti, Cristina Guirao Martinez, Renato Simonetti , Nicoletta Brunelli
Funding agency: EUROPEAN COMMISSION
Funding: 760000
Reference: TRUSTROKE_C.MOLINA_HE_2022
Duration: 01/05/2023 - 30/04/2027

Related news

The funding will enable the company, emerged from the Vall d'Hebron ecosystem, to complete the clinical development of its technology and move closer to making it available to patients.

The RECUPERA project, led by DyCare and Ephion Health in collaboration with Vall d’Hebron, Eurecat, and the Ictus Foundation, will combine AI, computer vision, and biomechanical sensors to measure patient progress and tailor exercises to their needs.

Funding has been obtained for 43 projects under the calls for Health R&D&I Projects, Health Technology Development, and Independent Clinical Research

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