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Financement de l’UE (4 646 000 €) : L’apprentissage automatique fédéré et la blockchain préservent la vie privée pour réduire les cyber-risques dans un monde de soins de santé distribués Hor01/01/2019 Programme de recherche et d'innovation de l'UE « Horizon »
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L’apprentissage automatique fédéré et la blockchain préservent la vie privée pour réduire les cyber-risques dans un monde de soins de santé distribués
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.
| Concentris Research Management GmbH | 355 000 € |
| Egnosis Srl | 471 750 € |
| Medizinische Universitat Graz | 510 000 € |
| Philipps Universitaet Marburg | 500 000 € |
| Research Institute AG & Co. KG | 347 373 € |
| SBA Research Gemeinnutzige GmbH | 500 000 € |
| Syddansk Universitet | 523 000 € |
| Technische Universitaet Muenchen | 649 793 € |
| Universiteit Maastricht | 54 207 € |
| University OF Hamburg | 734 876 € |
https://cordis.europa.eu/project/id/826078
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel.
