CORDIS Project
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The dAIbetes project aims to develop a federated health data platform for personalized treatment predictions in type 2 diabetes. By utilizing privacy-enhancing technologies, it seeks to harmonize data from diverse sources to improve disease management and outcomes.
Virtual twins may be used as prognostic tools in precision medicine for personalised disease management.
However, their training is a data hungry endeavour requiring big data to be integrated across diverse sources, which in turn is hampered by privacy legislation such as the General Data Protection Regulation.
Privacy-enhancing computational techniques, like federated learning, have recently emerged and hold the promise of enabling the effective use of big data while safeguarding sensitive pati…
UNIVERSITY OF HAMBURG
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
United States, Boston
Type: Research institute
Activity type: Research Organisations
SME: No
Germany, Erlangen
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Romania, Sfantu Gheorghe
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
Austria, Wien
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
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