DeathlessDAO | DeathlessDAO Anonymized Biomarker Data Using $OCEAN Protocol | Round 19

Project Name

DeathlessDAO


Project Category

Unleash Data


Proposal Earmark

New Entrants


Proposal Description

The DeathlessDAO mobile app will utilize $HEAL tokens to compensate users for submitting their anonymized data. $HEAL tokens can unlock perks such as discounts on blood tests, healthcare product discounts, access to advanced analytics and datasets, co-living and longevity optimization opportunities, and more.

$HEAL will be a utility and datatoken that is built using Ocean Protocol. Biomarker data will be in a JSON file, stored in a private server. Meta Data is stored on chain and is minted on $HEAL token using Ocean Datatoken factory.

If a buyer wants access to data (assuming they have no $HEAL), they will need to buy $LIFE (DeathlessDAO’s governance token) from a DEX and log-in to the DeathlessDAO dapp where an internal app exchange will facilitate the exchange between $LIFE and $HEAL. With sufficient amount of $HEAL tokens, buyers will be enabled to buy access to data (upon all proper consents) through the private $OCEAN marketplace.


Grant Deliverables

  1. Building $HEAL using Ocean datatoken factory
  2. Creating $HEAL/OCEAN pair
  3. Creating $LIFE governance token
  4. Begin beta testing/uploading 200 user data into $HEAL smart contract

Project Description

A decentralized biomarker and biometric data sharing protocol that allows users to upload anonymized blood reports and wearable data and incentivizes them to decrease their biological age and optimize health scores through $HEAL tokens that are utility and datatokens built on Ocean.js and $LIFE tokens, which are governance tokens built on Polygon.


Final Product

A mobile dapp that shows various health analytics, biological age scores, organ risk profiles, and allows users to share and monetize their biomarker data with academic institutions and research projects.


Value Add Criteria

We are building a powerful system to drive user behavior to improving biological age and training AI models on large numbers of health data.

Usage of Ocean - This project drives institutional and academic partners to using OCEAN to access biomarker data to understand different factors contributing to aging, disease, healthier lifestyle, food and dietary intake on health/growth, etc.

Viability - The chance of success for this project is large as we are driving growth with diagnostics/healthcare partnerships that find value in our AI models that are trained using patient data, academic and research institutions that realize value by having curated datasets, and individuals that discover advanced analytics and earn rewards when they submit anonymized data.

Community Engagement - The team is currently full-time bootstrapped, using education loans and grants to fund entire development and work with designers and engineers.

Community Value - Overall Ocean Ecosystem is empowered by having valuable patient data apart of the ecosystem driving innovation in healthcare data tracking and optimization. Furthermore, community members of Ocean are encouraged/incentivized to participate in Deathless to learn more about their biological age scores and data that is hosted on Ocean protocol is able to be used in training of AI models using compute-to-data techniques.


Core Team

Akshaj Jois

Role: CEO, Founder of DeathlessDAO

Relevant Credentials: Biomedical Engineering UT Austin, Web3 Engineering & Founder in Residence at Launch House, Drug Delivery and 3D bioprinting research at Rice University

LinkedIn: https://www.linkedin.com/in/akshaj-jois-932bb312b/

Background/Experience: Built two startups before (medical device and wound healing), biomaterials research at Rice University, launched my own social token and raised 4 eth ( Building the Future: Miami Edition — Joisboss121) to bootstrap initial startup costs

Nikhil Yadala

Role: CTO, Co-founder of DeathlessDAO

Relevant Credentials: Computer Science IIT Ghuwati, Computational Biology MS Carnegie Mellon University, Microsoft Data Scientist, On Deck Longevity Bio, and Started own high-frequency trading firm

LinkedIn: https://www.linkedin.com/in/nikhilyadala/?originalSubdomain=in

Background/Experience: Worked in several brain aging related projects and has been coding in machine learning & deep learning/neural nets for last 9 years.


Advisors

Mike Sinn

Role: Engineering and Plug-In Marketplace, Founder at CureDAO

Relevant Credentials: Southern Illinois University, data scientist and software engineer at Quantimodo health tracking

LinkedIn: https://www.linkedin.com/in/mikesinn/

Background/Experience: Spent a decade doing industrial root cause failure analysis and managing a testing lab. Then, built an app to make it easier to identify their own predictors and aggregate data to create larger studies. It’s collected over 10 million data points on symptom severity and influencing factors from over 10,000 people. This data has been used to publish 90,000 studies on the effects of various treatments and food ingredients on symptom severity.

Gudmunder Jonnson

Role: Tokenomics

Relevant Credentials: University of Oslo Computer Science, Launch House Founder in Residence, built NFT marketplace Tokenbird

LinkedIn: https://www.linkedin.com/in/gudmundur-jonsson-281957152/

Background/Experience: Worked as developer for several startups in the past, currently doing PhD on using machine learning in healthcare and built thesis around using ML for automatic detection of sleep apnea


Funding Requested
3000


Minimum Funding Requested
80


Wallet Address
0x54E3a0afCC0E200E81de27a119fb07D154cE49C7