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Watching the risk factors Artificial intelligence and the prevention of chronic...

Watching the risk factors Artificial intelligence and the prevention of chronic conditions Digital healthcare may prevent poor health. Personalised early risk prediction by artificial intelligence can empower citizens to adopt healthier habits and a better lifestyle. This project aims at defining a general personalised... ver más

31/12/2024

NORSK POLARINSTITU...

7M€

Presupuesto del proyecto: 7M€

Líder del proyecto

NORSK POLARINSTITUTT No se ha especificado una descripción o un objeto social para esta compañía.

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

NORSK POLARINSTITUTT

1.74M€ | Lider

NANOQUIMIA

243.97K€ | Participante

SENSOTREND OY

187.34K€ | Participante

CNR

465.07K€ | Participante

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Duración del proyecto: 48 meses Fecha Inicio: 2020-12-14
Fecha Fin: 2024-12-31

Líder del proyecto

NORSK POLARINSTITUTT No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 7M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Digital healthcare may prevent poor health. Personalised early risk prediction by artificial intelligence can empower citizens to adopt healthier habits and a better lifestyle. This project aims at defining a general personalised early risk prediction model that will be used to support individual preventive measures as well as early intervention. New digital tools are designed to empower both citizens and patients. Furthermore, the impact of the new digital tools on health and care pathways are investigated. Three main scenarios are included: 1. Chronic sun damage and the fight against skin cancer, 2. The late complications of diabetes mellitus and 3. The four main lifestyle risk factors in noncommunicable diseases. In scenario 1, a smartphone application estimates a person`s risk for sun damage and skin cancer. Both healthy persons and skin cancer patients are included. The analysis is based on user-collected data indicating previous and current sun exposure, skin type including a computer-based naevus classification and the family history of skin cancer. Persons at increased risk are educated on healthy sun exposure behaviour including sun screen use. In addition, they are asked to see their doctor for a total body skin examination. In scenario 2, a smartphone application estimates a person`s risk for late complications of diabetes. General lifestyle measures as well as blood sugar levels collected by the patient are used as input for the analysis. Persons at increased risk for complications are given specific advice and are asked to see their doctor. In scenario 3, a web-based tool to collect general lifestyle data in healthy populations is tested, emphasising the four main risk factors: Unhealthy diet, physical inactivity, tobacco use and harmful use of alcohol. All data in the project are analysed in a multidisciplinary approach including medical, sociological and behavioural outcomes.

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