[Application] AdvaitaHealth

[towben]

Project Name

AdvaitaHealth

Category

Application

Project Description

Combining evaluation of preventive-treatment wearable device with new infrastructure like 5G and IoT etc, Advaita Heal utilizes Polkdot ecology, merging with preventive-treatment ( Health Med) AI and builds the platform where efficacy of treatment is highly digitized and intelligentized.

Pain point：

Promotion of health, management and warning of chronic disease, mental health can not be effectively developed due to lack of data.
1. Data island within hospital
2，No Health Med out of hospital leads to no subject, tool, and methodology.
3， Lack of methodology which quantitatively merge health data in multiple dimension.
4，Lack of effective data acquire equipment out of hospital
5， Treatments can not be promoted due to lack of trusty prove of efficacy of which.

Methodology and Tool

1，Health Med: Qiming Zhang’s preventive-treatment guarantees the quantification of health.
2，Yi Flow Algorithm: discovering problems need to be improved and evaluating health trend in quantitative way.
3，Wearable devices that meet standard of Health Med
4，Trusty medical data on chain.

Problems that can be solved

Major diseases can be intervened and treated effectively with data
1，Ability to adjust blood pressure/precaution of high blood pressure
2，Bio parameters resulting in depressive disorder
3，Fertility problems caused by infirmity of lower limbs
4，Quantification of health management
5，Effective improvement in sleep

Business Model：

Trusty data on chain + smart contract + pay according to efficacy

Project Status

The development of the health watch is completed, and the blockchain is under development.

Promotion：

1. Credentials of Chinese traditional medicine special project of Health committee, China Ministry of Industry and Information Technology + front end marketing of cooperated Chinese traditional medicine hospital
2，Diagnosis and prescription of wearable devices
3，Trusty cases of treatment on chain

Road Map：

1，Connecting homeopathy
2，Health competition
3，More application scenarios：healthcare

Technology path

The YingYang-Watch data is uploaded to IPFS, and the data hash is written to Polkadot. The web2.0 artificial intelligence algorithm obtains the data through IPFS, issues an evaluation report, and writes the evaluation results to Polkadot through chainlink, realizing a business model of paying based on curative effects.

Project Status

The development of the health watch is completed, and the blockchain is under development.

Previews

Framework

Target Audience

People who are concerned about health

Rough estimated user base (if applicable)

100million

Github repo

https://github.com/AdvaitaHealth/AdvaitaHealth

Website

http://advaitahealth.net

Docs

https://github.com/AdvaitaHealth/AdvaitaHealth/wiki

Team Info

Team Size

200人以下

Team members

Chief Medical Scientist: Professor Zhang Qiming

Medical Experiment Center of China Academy of Chinese Medical Sciences
PhD Tutor
Leader of the TCM Medical Device Professional Group of the National Food, Drug and Medical Device Classification Technical Committee

Chief Blockchain Expert: Weiling Chen

No. 1 in science in Sanming area and Xiamen University, postgraduate of the Ministry of Aerospace;
Participated in leading the birth of China's first 32-bit CPU;
Leading China's first network computer with independent intellectual property rights;
The world's first blade server with 3 64-bit processors;
Former Xiaomi eco-chain company iHealth CTO; leading the team to complete Xiaomi Mijia's best-selling sphygmomanometer;
The world proposes that blockchain is the first person in the fourth industrial revolution

CTO: Professor Wang Feng

In his early years, he received a bachelor's degree in physics from Peking University, a master's degree from the Institute of Theoretical Physics, Chinese Academy of Sciences, and a Ph.D. in engineering from the University of Texas at Austin. He has worked in many high-tech companies in Silicon Valley (including Intel) for more than 30 years, and has been engaged in physical modeling and chip automation design software development, artificial intelligence and image processing. Published 61 SCI and EI papers, and 43 invention patents in the United States, China and the European Union. Dr. Wang conducts research on artificial intelligence, computer vision, semiconductor device simulation and brain quantum cognition, and leads the team to publish 11 SCI, EI and core journal papers in deep learning, brain neural networks, system modeling and simulation research.

Overseas promotion: Chen Danze

Undergraduate at the University of Wisconsin-Madison, majoring in science and mathematics. Served as a member of the Outreach Department of CUSA (University of Wisconsin-Madison Chinese Undergraduate Students Association).
In 2017, he was awarded the title of outstanding representative at the National Middle School Student Model United Nations Conference. In 2021, he worked as a data assistant at South China Normal University to process and analyze the data of the easy-flow model algorithm. Good at investment research, investor relations and data processing.

CEO: Chen Hongjun

Xiamen University International Trade Major Tongji University Architectural Design Tmall Double Eleven Yoga Wear 2015-2018 three consecutive sales

Chief Algorithm Scientist: Professor Liu Chengyi

Dr. Liu Chengyi is a professor of South China Normal University, a supervisor of doctoral students in sports and human science, and a leader of the Zhujiang scholar post.

How the community can engage

GitHub Discussion:

#300

Email:

[email protected]

Slack:

advaitahealth

Twitter:

https://twitter.com/XvNfk9U5te6mXQm

Discord:

https://discord.gg/NvdDSPKY

Telegram:

https://t.me/joinchat/1LriPwZve9YwODFl

WeChat:

savitachen

How to Contribute

Chainlink connects traditional medical data to make blockchain work in the healthcare industry.