ALLIVE creates an on-chain identification profile Olife for each user, which gathers data from all DAPPs in ALLIVE and continues to self-perfect. Olife allows transactions in different DAPPs within one token system and facilitates data integration. The value created by user contribution in one DAPP can be transferred to another within ALLIVE. User has complete control over when and how Olife is used within ALLIVE and achieve any healthcare goal without compromising data security and privacy.
Olivia is a super AI doctor of over 3 years’ R&D. This AI medical inquiry system is made
possible by formulating a medical knowledge map with machine learning algorithms
through the combination of digital technology and medical databanks. Olivia produces
more than simplified and standardized reports, but will also be able to provide
personalized healthcare plans by analyzing user health profile and leveraging the vast
resources on ALLIVE.
Blockchain technology’s practical application has been one of the core pursuits of
many entrepreneurs and developers. The past decade has seen a few mainstream
types of consensus mechanism, each trying to balance among the degree of
distribution, transaction verification speed, and fork prevention.
Eric Brewer proposed a hypothesis at the Symposium on Principles of Distributed
Computing in 2000, and it was later proved to be the CAP Theorem by Seth Gilbert
and Nancy Lynch from MIT. It points out that it is impossible for any distributed data
store to simultaneously guarantee consistency, availability, and partition tolerance. In
terms of blockchain application, the three qualities correspond to security, scalability,
and decentralization, among which tradeoffs have to be made.