Skychain — Blockchain and Health Care Combined


We present to your attention the project Skychain. This is an infrastructure blockchain project, intended for placement, training and use of neural networks by participants market.
The first years of Skychain development we will devote exclusively medical topics to using this system, doctors and patients received accurate diagnoses for diseases.
Skychain is a project in the paradigm of “sharing economy” — when each member of the Skychain ecosystem will provide its resources, and thus forming ahead of any competitors product.
In return, each participant will receive high benefits from the system.
Skychain is a project that will “neutralize” neural networks, but instead of taxi drivers developers of separate neural networks will act here, instead of passengers there will be consumers of neural networks (doctors and patients), and instead of cars there will be speakers computers and server of miners.
IBM estimates the artificial intelligence market in medicine will be at $ 200 billion a year in a few years.
The goal of Skychain is to take 70% of this market! The way to achieve the goal is to create the best open infrastructure, which accumulates the resources of the majority of participants in this market and will surpass any closed corporate product.
In the future, probably Skychain will be used for design, fast
distributed learning and further use of a wide range of neural networks, not
only in the field of medicine.

Problems in the field of medicine

Only in the USA and the EU, due to incorrectly diagnosed diagnoses, hundreds of thousands patients suffer every year. Economic costs associated with complications arising from misappropriation of drugs cost more than $ 100 billion a year.

The main causes of incorrect diagnoses are:

- Narrow view of the doctor on the problem, doctors specialize in individual organs or systems of the body, and often do not see the picture as a whole;
- Lack of experience and problems in the knowledge of doctors often lead to the fact that the doctor is not able to diagnose rare diseases;
- Inadequate amount of the doctor’s time for analysis of the anamnesis for reasons of high loading of the doctor with techniques and a lot of time spent on documentation;
- Difficulty of determining the disease by X-ray, CT, MRI, histological
research in the non-standard course of the disease, as well as high dependence on subjective experience of a specialist.
- Artificial intelligence based on neural networks will drastically change the situation in the field of medical diagnostics.

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