Matching Individual Using Genetic Data for Risk Prediction
Described herein are a secure system for sharing private data and related systems and methods for incentivizing and validating private data sharing. In some embodiments, private data providers may register to selectively share private data under controlled sharing conditions. The private data may be cryptographic ally secured using encryption information corresponding to one or more secure execution environments. To demonstrate to the private data providers that the secure execution environment is secure and trustworthy, attestations demonstrating the security of the secure execution environment may be stored in a distributed ledger (e.g., a public blockchain). Private data users that want access to shared private data may publish applications for operating on the private data to a secure execution environment and publish, in a distributed ledger, an indication that the application is available to receive private data. The distributed ledger may also store sharing conditions under which the private data will be shared.
Researchers
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systems and methods for crowdsourcing, analyzing, and/or matching personal data
European Patent Convention | Granted | 3,622,660 -
systems and methods for crowdsourcing, analyzing, and/or matching personal data
United States of America | Granted | 11,593,512 -
systems and methods for crowdsourcing, analyzing, and/or matching personal data
China | Granted | 0 -
systems and methods for crowdsourcing, analyzing, and/or matching personal data
Germany | Granted | 602,018,056,526 -
systems and methods for crowdsourcing, analyzing, and/or matching personal data
United Kingdom | Granted | 3,622,660
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