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FAITH SIGNED

a Federated Artificial Intelligence solution for moniToring mental Health status after cancer treatment

Total Cost €

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EC-Contrib. €

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Partnership

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 FAITH project word cloud

Explore the words cloud of the FAITH project. It provides you a very rough idea of what is the project "FAITH" about.

strength    techniques    learning    federated    negative    monitor    predicting    aggregates    direct    computational    involvement    insights    run    ai    health    central    data    predict    faith    latest    aftercare    life    gain    validate    trial    cancer    cast    giving    population    protect    appetite    models    private    strategy    net    technologies    intelligence    platform    disease    privacy    basis    sites    warnings    minimisation    personalised    holding    adoption    risk    lisbon    machine    providers    waterford    patients    leverage    beneficial    sleep    outlook    patient    markers    specialists    accordance    model    repository    hospitals    care    symptom    big    global    training    personal    continuous    remotely    individual    vision    quality    angel    treatment    analytics    intervention    trajectories    trajectory    categories    learnings    framework    artificial    healthcare    applicable    eminent    individuals    3m    deeply    depression    madrid   

Project "FAITH" data sheet

The following table provides information about the project.

Coordinator
WATERFORD INSTITUTE OF TECHNOLOGY 

Organization address
address: CORK ROAD
city: Waterford
postcode: X91
website: http://cefims.eu/

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Ireland [IE]
 Total cost 4˙831˙233 €
 EC max contribution 4˙831˙233 € (100%)
 Programme 1. H2020-EU.3.1.5.1. (Improving halth information and better use of health data)
2. H2020-EU.3.1.3.2. (Transferring knowledge to clinical practice and scalable innovation actions)
 Code Call H2020-SC1-DTH-2019
 Funding Scheme RIA
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2022-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    WATERFORD INSTITUTE OF TECHNOLOGY IE (Waterford) coordinator 1˙008˙125.00
2    UNINOVA-INSTITUTO DE DESENVOLVIMENTO DE NOVAS TECNOLOGIAS-ASSOCIACAO PT (CAPARICA) participant 760˙750.00
3    UNIVERSIDAD POLITECNICA DE MADRID ES (MADRID) participant 610˙750.00
4    SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED CY (LIMASSOL) participant 511˙375.00
5    FUNDACAO D. ANNA SOMMER CHAMPALIMAUD E DR. CARLOS MONTEZ CHAMPALIMAUD PT (LISBOA) participant 472˙000.00
6    EURO CARE HEALTHCARE LTD IE (WATERFORD) participant 434˙250.00
7    DEEP BLUE SRL IT (ROMA) participant 403˙750.00
8    SERVICIO MADRILENO DE SALUD ES (MADRID) participant 400˙750.00
9    TFC RESEARCH AND INNOVATION LIMITED IE (DUBLIN 13) participant 229˙483.00

Map

 Project objective

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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The information about "FAITH" are provided by the European Opendata Portal: CORDIS opendata.

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