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Artificial Intelligence (AI) incorporating genetic and medical informationhave been applied in disease risk prediction, unveiling disease mechanism, andadvancing therapeutics. However, AI training relies on highly sensitive andprivate data which significantly limit their applications and robustnessevaluation. Moreover, the data access management after sharing acrossorganization heavily relies on legal restriction, and there is no guarantee inpreventing data leaking after sharing. Here, we present Genie, a secure AIplatform which allows AI models to be trained on medical data securely. Theplatform combines the security of Intel Software Guarded eXtensions (SGX),transparency of blockchain technology, and verifiability of open algorithms andsource codes. Genie shares insights of genetic and medical data withoutexposing anyone's raw data. All data is instantly encrypted upon upload andcontributed to the models that the user chooses. The usage of the model and thevalue generated from the genetic and health data will be tracked via ablockchain, giving the data transparent and immutable ownership.

Genie: A Secure, Transparent Sharing and Services Platform for Genetic and Health Data