Healid is a decentralized crypto-technology platform that uses a biometric ID to anonymously store genome data on a massive scale.
Healid uses crypto-technologies to enable biotech and artificial intelligence to battle thousand of diseases inflicting humanity.
This is not just a “better mouse-trap” but the promise for a profound transformation of Health Care!
It becomes a key enabler to save societies trillions of dollars while providing superior personalized health care for all of humanity.
The Heal-ID leaves the individual in control of their data.
It is a cryptographic hash that uniquely identifies an individual using biometric scans of face, finger, eye, and voice, including proof of liveness. This hash never is stored, but is linked to the unique biometric characteristics of each human, and connects the individual person to their data.
Individuals contribute their genome and health metadata, receiving HealCoin for this “Proof-of-Life” (POL) mining contribution.
Miners process, store and retrieve uploaded data, receiving HealCoin for their POL mining contribution, and getting paid in HealCoin when researchers, scientists, or doctors access Healid data.
Researchers generically access and analyze the uploaded data to identify patterns, correlations, and causations paying with HealCoin for access to data.
Scientists perform replicable scientific studies, including genome editing to study specific diseases and come up with treatment options, paying for access to Healid data.
Doctors holistically deliver modified genome to individual patients by applying personalized treatments that scientists developed.
Download the White Paper and other documentation. Click on the below links.
The Solution Brief is an 8-page Light Paper that gives an overview of everything the Healid project is about.
- Using Healid
- The Economic Model
- The Technology
- The Community
- Governance – The DAF
- Execution & Funding
- Coin Issue & Distribution
Join Us On Social Media:
Crypto Platform Components
… that we are using:
… that we are evaluating:
Healid Technology: The Building Blocks
Heal-ID AppBiometric Identifier
The Heal-ID App
This is the iOS, Android, and Web application that creates the Heal-ID and its ability to link the individual person to her data, giving them ownership over it. It encrypts the Heal-ID, associates it with the genome data as it is uploaded, and enables the interaction of the individuals with their data, including metadata information.
Core Crypto EngineSmart-Logic Crypto App
The Core Crypto Engine
The Crypto Application contains the smart contract logic that makes Healid and the HealCoin work. It takes the genome sequence and meta data, formats, verifies and stores it in a cryptographically anonymized fashion, manages the retrieval of data for analytical purposes, and then stores and retrieves data while creating immutable transactions and related payments.
The Analytical Layer
This is the application that selects the data for analysis and then logically analyzes it, with the goal to find correlations, like anomalies, causal relation-ships, or risk factors as triggers between genome base pairs and diseases. It is part of the core crypto code, and involves processing by miners and payment in HealCoin for data access.
Transaction EngineOn Chain Data
The Transaction Engine
This is the “on-chain” portion of the solution, storing the immutable record of transactions. Those mainly document the parties involved in the storing or retrieving of data, and the corresponding pay-ment made.
Gene SequencersGenome Data Collectors
The Gene Sequencers
It is the device that collects the genome, per-forms the initial sequencing, and either uploads the data directly into the Healid data stores, or first saves it locally, ready for upload. Healid explores add-on functionality to reduce the cost of sequencing calculations, by leveraging its miners’ capabilities.
Distributed Data StorageData Storage
Distributed Data Storage
This is the layer that stores four different kinds of data: (1) The Genome Data, (2) Meta Data to help translate genotypes into phenotypes, (3) Reference Data like the reference genomes, and (4) Analytical Findings and Discoveries.