Tuesday, May 1, 2018

Citing Intelligent Technology From Blockchain Based SHIVOM



on this good occasion I will present a project that uses limited genetic technology to build the largest database of genetic databases in sequence and this project is SHIVOM.


Shivom is linking two revolutionary technologies: genomics and blockchain to provide a safe, secure platform to store genetic data and improve health and well-being. Shivom provides users access to a global precision medicine platform that allows for the anonymous sharing of genetic information that may eventually help cure complex diseases.
Shivom is creating a genomics ecosystem on the blockchain. We will offer an open marketplace for healthcare providers to add their apps and services, alongside genomic data analytics and personalized medicine.


OUR VISION

The genomic era is accelerating

Each of the 7.6 billion people on earth has unique codes, origins, intellectual abilities, health and fitness. However, the ability to express disease problems has been ignored.


Improve global health

Now is the time for community development together for the "genome" challenge in the next decade. Currently, some key players are monopolies over genome data and generate profits from sales to third parties, especially without sharing revenue with donors.


Drug precision jumpstart based on genome
We change the dynamics of the global health care market. We use the most advanced technologies including blockchain, cloud computing, genome sequencing, artificial intelligence and massive data analysis to bring the medical genome into a new era.


Ensure the next level of data privacy

We are in front of the data front. We use advanced cryptography to add a level of privacy to our platform with decentralized blockchain technology, protecting every user's data from cybercriminals




THE SHIVOM ECOSYSTEM

Shivom is creating a genomics ecosystem on the blockchain. We will offer an open marketplace for healthcare providers to add their apps and services, alongside genomic data analytics and personalized medicine.
Transform genomic data into useable information Break down data silosHelp accelerate clinical trials Facilitate drug research and developmentSponsor sequencing projects to get access to relevant data



OUR OBJECTIVE

Make Shivom the largest genomic data-hub on the planet. Contributors own their genomic data, control the right to access it, and receive rewards if they choose to share it.



Shivom Purpose

The Shivom project aims to work with efficient and resourceful genomic researchers who provide genetic sequencing future not only brilliant but also very helpful finding us in Genetic Technologies! This is a collaboration and a lot of results in the future


Problem
Make Shivom the largest genomic data-hub on the planet. Contributors own their genomic data, control the right to access it, and receive rewards if they choose to share it.



OmiX token

The OmiX token is a key component that enables buying, trading, incentivizing and other services. The token is the fuel of the Shivom ecosystem, as well as part of the governance of the system.



We are moving the next era of genomes, creating a living healthcare ecosystem and building best for research and medicine, we are actively seeking joint development projects with pharmaceutical industry partners and bioinformatics / large companies dated. This will allow us to provide data genome integration of large sets of genomic data and accelerate and validate targets using advanced algorithms, infrastructures, and algorithms.



RoadMap



















TEAM


DR. AXEL SCHUMACHER
GOURISH SINGLA
SALLY EAVES
PER LIND
HENRY INES
AKASH GAURAV
KUMAR GAURAV
DR. NATALIE PANKOVA
 AGAM KANSAL
CHARLES LESLIE
AJIT SINGH KULAR
DR. RASHAD IBRAHIM
STEPHANE LAURENT
 AZAM SHAGHAGHI

 TING PENG
 PIERRE MAAREK
 KAYLEEN SCHREIBER
DR. JAY SANDERS
 DR. AMALIO TELENTI
 ANTANAS GUOGA
 DAVID ORBAN
 GEOFF HANCOCK
DR. WILLIAM YASNOFF
DR. IRSHAAD EBRAHIM




TO KNOW MORE ABOUT PROJECT SHIVOM PLEASE VISIT THE FOLLOWING LINKS:

Websitewww.shivom.io









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