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FAITH

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Cerrado

a Federated Artificial Intelligence solution for moniToring mental Health status...

a Federated Artificial Intelligence solution for moniToring mental Health status after cancer treatment The main aim of FAITH is to apply the latest Artificial Intelligence (AI) and Big Data analytics techniques to better model and predict disease/treatment trajectories of cancer patients, with the goal of improving their quality of... ver más

30/06/2024

SOUTH EAST TECHNOL...

5M€

Presupuesto del proyecto: 5M€

Líder del proyecto

SOUTH EAST TECHNOLOGICAL UNIVERSITY No se ha especificado una descripción o un objeto social para esta compañía.

Fecha límite participación Sin fecha límite de participación.

Ver 9 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-06-30

SC1-DTH-01-2019: Big data and Artificial Intelligenc... Specific Challenge:Currently available methods and strategies for diagnosis and treatment of cancer...

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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.

9 Participantes

SOUTH EAST TECHNOLOGICAL UNI...

1.07M€ | Lider

SERMAS

400.75K€ | Participante

UNINOVA

829.50K€ | Participante

TFC RESEARCH AND INNOVATION...

229.48K€ | Participante

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Duración del proyecto: 55 meses Fecha Inicio: 2019-11-05
Fecha Fin: 2024-06-30

Líder del proyecto

SOUTH EAST TECHNOLOGICAL UNIVERSITY No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 5M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The main aim of FAITH is to apply the latest Artificial Intelligence (AI) and Big Data analytics techniques to better model and predict disease/treatment trajectories of cancer patients, with the goal of improving their quality of life and aftercare. To protect privacy of the individual, but still gain insights that are beneficial to the broader population, FAITH will be applying the concept of federated machine learning, which makes it possible to build machine learning systems without direct access to personal treatment data that will be used for training in machine learning. Devices private to the patient will run their own personalised AI models, via the project’s ‘AI Angel’ application, while a global AI model aggregates the individual model learnings (rather than the traditional approach of a central repository of holding all private patient data). FAITH’s ‘AI Angel’ will remotely analyse depression markers, predicting negative trends in their disease trajectory, giving their healthcare providers advanced warnings to allow for timely intervention. These markers are treated under several distinct categories: Activity, Outlook, Sleep, and Appetite, in accordance with the 3M strategy for population health: Monitor–Measure–Manage. Central to the vision of the FAITH project is to measure population health deeply, it is necessary to monitor individuals on a continuous basis to cast a wide enough net over a user’s health data. A key strength of FAITH is the involvement of eminent cancer hospitals and specialists in the consortium to provide relevant applicable cancer care related use cases that can effectively leverage a big data framework using computational intelligence approaches and methodologies that can be used for long term cancer care health risk and symptom minimisation for patients. FAITH has trial sites in Madrid, Waterford, and Lisbon, with real end users to assess and validate the adoption and usage of the FAITH technologies and platform.

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