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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

HARMONICS. Harmonization and Implementation of High Value Stroke Care

IP: Carlos Molina Cateriano
Collaborators: Marta Aurora Rubiera del Fueyo, Lidia Garcia Guillamón, Manuel Requena Ruiz, Marta Olive Gadea, Maria Baladas Orti, Alvaro Garcia Tornel Garcia Camba, Ester Sanchez Gavilan, Olalla Pancorbo Rosal, Cristina Guirao Martinez, Claudia Meza Burgos, David Rodriguez Luna, Federica Rizzo, Renato Simonetti
Funding agency: EUROPEAN COMMISSION
Funding: 468090
Reference: HARMONICS_EIT-HEALTH-BP2022
Duration: 01/01/2022 - 31/12/2026

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

Aplicación de estrategias basadas en ciencia de datos y machine learning en la investigación en ictus

IP: Carlos Molina Cateriano
Collaborators: Marta Olive Gadea
Funding agency: Fundació Institut de Recerca HUVH
Funding: 117000
Reference: HUVH/BPFSE_RENOV/2021/OLIVÉ
Duration: 01/06/2021 - 30/05/2023

Related news

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

The study analyzes a new therapeutic strategy in high-risk patients that could influence future international clinical guidelines

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