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FeatureCloud SIGNED

Privacy preserving federated machine learning and blockchaining for reduced cyber risks in a world of distributed healthcare

Total Cost €

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EC-Contrib. €

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Partnership

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FeatureCloud project word cloud

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

purposes cyber achievable cloud perceived substantially certifiable innovations world rights bold era representations age point toolkit crime minimize safely critical translation considerations trust healthcare posing border model infrastructure attack architecture interface immutability transform agreeable covers store coupled stored channels patient commercial internet data exchange first revolution privacy endeavors chain anonymous featurecloud mining maximization app policies socially patients consent default federated interdisciplinary roadblock medicine sensitive digital ai harbors goals software reducing clinical time ground collaborative international machine intelligence blockchaining transformative employing central prognostic collectively ict medical artificial security breaking learning cross communication risks paving safety secure previously communicated blockchain learned generation big hampering preserving revoking insurmountable evaluation

Project "FeatureCloud" data sheet

The following table provides information about the project.

Coordinator	TECHNISCHE UNIVERSITAET MUENCHEN Organization address address: Arcisstrasse 21 city: MUENCHEN postcode: 80333 website: www.tu-muenchen.de 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	Germany [DE]
Total cost	4˙646˙000 €
EC max contribution	4˙646˙000 € (100%)
Programme	1. H2020-EU.3.1.5.1. (Improving halth information and better use of health data)
Code Call	H2020-SC1-FA-DTS-2018-1
Funding Scheme	RIA
Starting year	2019
Duration (year-month-day)	from 2019-01-01 to 2023-12-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	TECHNISCHE UNIVERSITAET MUENCHEN TECHNISCHE UNIVERSITAET MUENCHEN Organization address address: Arcisstrasse 21 city: MUENCHEN postcode: 80333 website: www.tu-muenchen.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (MUENCHEN)	coordinator	1˙350˙000.00
2	SYDDANSK UNIVERSITET SYDDANSK UNIVERSITET Organization address address: CAMPUSVEJ 55 city: ODENSE M postcode: 5230 website: www.sdu.dk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DK (ODENSE M)	participant	523˙000.00
3	MEDIZINISCHE UNIVERSITAT GRAZ MEDIZINISCHE UNIVERSITAT GRAZ Organization address address: AUENBRUGGERPLATZ 2 city: GRAZ postcode: 8036 website: http://www.medunigraz.at contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	AT (GRAZ)	participant	510˙000.00
4	PHILIPPS UNIVERSITAET MARBURG PHILIPPS UNIVERSITAET MARBURG Organization address address: BIEGENSTRASSE 10 city: MARBURG postcode: 35037 website: www.uni-marburg.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (MARBURG)	participant	500˙000.00
5	SBA RESEARCH GEMEINNUTZIGE GMBH SBA RESEARCH GEMEINNUTZIGE GMBH Organization address address: FLORAGASSE 7, 5 OG city: WIEN postcode: 1040 website: www.sba-research.org contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	AT (WIEN)	participant	500˙000.00
6	GNOME DESIGN SRL GNOME DESIGN SRL Organization address address: STR DAKO 2A city: SFANTU GHEORGHE postcode: 520014 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.	RO (SFANTU GHEORGHE)	participant	453˙000.00
7	Concentris Research Management GmbH Concentris Research Management GmbH Organization address address: Ludwigstr. 4 city: Fürstenfeldbruck postcode: D-82256 website: www.concentris.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (Fürstenfeldbruck)	participant	355˙000.00
8	UNIVERSITEIT MAASTRICHT UNIVERSITEIT MAASTRICHT Organization address address: Minderbroedersberg 4-6 city: MAASTRICHT postcode: 6200 MD website: http://www.maastrichtuniversity.nl contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	NL (MAASTRICHT)	participant	280˙000.00
9	RESEARCH INSTITUTE AG & CO KG RESEARCH INSTITUTE AG & CO KG Organization address address: AMUNDSENSTRASSE 9 city: VIENNA postcode: 1170 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.	AT (VIENNA)	participant	175˙000.00

Map

Project objective

The digital revolution, in particular big data and artificial intelligence (AI), offer new opportunities to transform healthcare. However, it also harbors risks to the safety of sensitive clinical data stored in critical healthcare ICT infrastructure. In particular data exchange over the internet is perceived insurmountable posing a roadblock hampering big data based medical innovations. FeatureCloud’s transformative security-by-design concept will minimize the cyber-crime potential and enable first secure cross-border collaborative data mining endeavors. FeatureCloud will be implemented into a software toolkit for substantially reducing cyber risks to healthcare infrastructure by employing the world-wide first privacy-by-architecture approach, which has two key characteristics: (1) no sensitive data is communicated through any communication channels, and (2) data is not stored in one central point of attack. Federated machine learning (for privacy-preserving data mining) integrated with blockchain technology (for immutability and management of patient rights) will safely apply next-generation AI technology for medical purposes. Importantly, patients will be given effective means of revoking previously given consent at any time. Our ground-breaking new cloud-AI infrastructure only exchanges learned model representations which are anonymous by default. Collectively, our highly interdisciplinary consortium from IT to medicine covers all aspects of the value chain: assessment of cyber risks, legal considerations and international policies, development of federated AI technology coupled to blockchaining, app store and user interface design, implementation as certifiable prognostic medical devices, evaluation and translation into clinical practice, commercial exploitation, as well as dissemination and patient trust maximization. FeatureCloud’s goals are bold, necessary, achievable, and paving the way for a socially agreeable big data era of the Medicine 4.0 age.

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

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