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BRAINTEASER

Financiado

Cerrado

BRinging Artificial INTelligencE home for a better cAre of amyotrophic lateral s...

BRinging Artificial INTelligencE home for a better cAre of amyotrophic lateral sclerosis and multiple SclERosis Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS) are chronic diseases characterized by progressive or alternate impairment of neurological functions (motor, sensory, visual, cognitive). Patients have to manage alter... ver más

31/12/2024

UPM

6M€

Presupuesto del proyecto: 6M€

Líder del proyecto

UNIVERSIDAD POLITÉCNICA DE MADRID No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 3949

Fecha límite participación Sin fecha límite de participación.

Ver 13 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-12-31

SC1-DTH-02-2020: Personalised early risk prediction,... Specific Challenge:The ageing of the population together with the rising burden of chronic condition...

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

13 Participantes

UPM

680.00K€ | Lider

CIENCIAS ULISBOA

N.D. | Participante

BELIT DOO BEOGRAD IT AND E-C...

456.88K€ | Participante

iMM

362.57K€ | Participante

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Duración del proyecto: 48 meses Fecha Inicio: 2020-12-09
Fecha Fin: 2024-12-31

Líder del proyecto

UNIVERSIDAD POLITÉCNICA DE MADRID No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 3949

Presupuesto del proyecto 6M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS) are chronic diseases characterized by progressive or alternate impairment of neurological functions (motor, sensory, visual, cognitive). Patients have to manage alternated periods in hospital with care at home, experiencing a constant uncertainty regarding the timing of the disease acute phases and facing a considerable psychological and economic burden that also involves their caregivers. Clinicians, on the other hand, need tools able to support them in all the phases of the patient treatment, suggest personalized therapeutic decisions, indicate urgently needed interventions. Artificial Intelligence is the key to successfully satisfy these needs to: i) better describe disease mechanisms; ii) stratify patients according to their phenotype assessed all over the disease evolution; iii) predict disease progression in a probabilistic, time dependent fashion; iv) investigate the role of the environment; v) suggest interventions that can delay the progression of the disease. BRAINTEASER will integrate large clinical datasets with novel personal and environmental data collected using low-cost sensors and apps. Software and mobile apps will be designed embracing an agile and user-centred design approach, accounting for the technical, medical, psychological and societal needs of the specific users. BRAINTEASER will implement a system able to guarantee cybersecurity and data ownership to the patients; will provide quantitative evidence of benefits and effectiveness of using AI in health-care pathways implementing a proof-of-concept of its use in real clinical setting. Procedural requirements that support Software as Medical Device certification will be used involving clinicians and patients stakeholders and producing a set of recommendations for public health authorities. Results will be disseminated accordingly to an open science paradigm under the European Open Science Cloud initiative.

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