#	Pagina
attuale pagina	/open-h2020/projects/225787/index.html

Opendata, web and dolomites

FAITH SIGNED

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

Total Cost €

EC-Contrib. €

Partnership

Views

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.

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

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 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.	IE (Waterford)	coordinator	1˙008˙125.00
2	UNINOVA-INSTITUTO DE DESENVOLVIMENTO DE NOVAS TECNOLOGIAS-ASSOCIACAO UNINOVA-INSTITUTO DE DESENVOLVIMENTO DE NOVAS TECNOLOGIAS-ASSOCIACAO Organization address address: CAMPUS DA CAPARICA QUINTA DA TORRE city: CAPARICA postcode: 2829-516 website: www.uninova.pt contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	PT (CAPARICA)	participant	760˙750.00
3	UNIVERSIDAD POLITECNICA DE MADRID UNIVERSIDAD POLITECNICA DE MADRID Organization address address: CALLE RAMIRO DE MAEZTU 7 EDIFICIO RECTORADO city: MADRID postcode: 28040 website: www.upm.es contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (MADRID)	participant	610˙750.00
4	SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED Organization address address: ALEXANDREIAS 2, BRIDGE TOWER, FLAT/OFFICE 101 city: LIMASSOL postcode: 3013 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	CY (LIMASSOL)	participant	511˙375.00
5	FUNDACAO D. ANNA SOMMER CHAMPALIMAUD E DR. CARLOS MONTEZ CHAMPALIMAUD FUNDACAO D. ANNA SOMMER CHAMPALIMAUD E DR. CARLOS MONTEZ CHAMPALIMAUD Organization address address: AVENIDA BRASILIA, CENTRO DE INVESTIGACAO DA FUNDACAO CHAMPALIMAUD city: LISBOA postcode: 1400-038 website: http://fchampalimaud.org/ contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	PT (LISBOA)	participant	472˙000.00
6	EURO CARE HEALTHCARE LTD EURO CARE HEALTHCARE LTD Organization address address: BUTLERSTOWN NORTH CORK ROAD city: WATERFORD postcode: X91DH9W website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IE (WATERFORD)	participant	434˙250.00
7	DEEP BLUE SRL DEEP BLUE SRL Organization address address: VIA ENNIO QUIRINO VISCONTI 8 city: ROMA postcode: 193 website: http://www.dblue.it contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IT (ROMA)	participant	403˙750.00
8	SERVICIO MADRILENO DE SALUD SERVICIO MADRILENO DE SALUD Organization address address: PLAZA CARLOS TRIAS BERTRAN 7 city: MADRID postcode: 28020 website: http://cort.as/10Yf contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (MADRID)	participant	400˙750.00
9	TFC RESEARCH AND INNOVATION LIMITED TFC RESEARCH AND INNOVATION LIMITED Organization address address: 172 SARTO LAWN SUTTON city: DUBLIN 13 postcode: D13PD79 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "FAITH" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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