Proposal for Round 10 Microgrant: MedDAO<>DAOkit

Name of Project: MedDAO<>DAOKit Decentralized Peer-Peer Review Protocol

Proposal in one sentence: A Web3 decentralized pre-submission medical peer-peer review protocol for the creation of a novel on-chain dataset linking manuscripts and their reviews by verified physician specialists

Description of the project and what problem it is solving:

Increasingly, peer-peer knowledge sharing is taking place online in an unstructured format that is quickly lost after initial consumption. In addition, the formal academic peer review process can be biased, inefficient and existing legacy publishing models are being restructured and questioned. This combination opens a window for development of an innovative Web3 decentralized medical peer review protocol. MedDAO is building a distributed medical knowledge network that will offer an exponentially greater degree of interaction and interconnection between healthcare providers, patients and other stakeholders. One of our core primitives is MedCred, a soulbound NFT KYC’ing of physicians and verifying professional credentials and medical specialties. In cooperation with HaAI’s DAOKit we plan to develop an easy-to-use, custom front-end UI on the MedDAO platform with a back-end Ethereum based smart contract protocol for medical peer review. This protocol will allow the progressive development of a database of 1)medical manuscripts and data sets and 2)critical reviews of those manuscripts and data by appropriate medical specialists (gated by MedCred). This combined, comprehensive dataset can then be leveraged by Algovera AI technology to power a novel form of Reinforcement Learning from Human Feedback. Of note, a matching grant has been submitted through the MedDAO Grants Treasury.

Grant Deliverables:

Grant Deliverable 1- Creation of front-end UI for medical focused knowledge request model/peer review utilizing HaAIs DAOKit smart contracts and gating with MedDAOs MedCred

Grant Deliverable 2- Common language/model for disparate inputs including document peer review, clinical vignettes, basic imaging and laboratory data.

Grant Deliverable 3- Integrate with Ocean Protocol fork to create custom MedDAO-DAOKit dataset to power Algovera analytics.


Squad Leads

@ndehouche (HaAI)

@rmsMD_eth (MedDAO)


Squad Members:



I’d like to add that in addition to the UI/UX work, there would be a few additional deliverables on the Solidity side of the DAOkit:

  1. Reputation management: Requesters will be able to rate the quality of a review, the overall reputation of a reviewer allowing them e.g. to command higher compensation in future reviews.
  2. Token-gating by medical specialty: A manuscript can belong to one or several specialties and a reviewer must be verifiably qualified in at least one of them to get access. MedDAO’s soulbound NFTs are ERC-1155 tokens, which allows for a more refined token-gating.
  3. Free input: The reasoning behind a manuscript review matters more than the suggested decision. These will be hashed on-chain. Free text input will also be useful for future use cases (e.g. an MD requesting an n-th opinion on a case); the text can be monetized alongside structured intelligent input and semantic data (e.g. an MRI scan), through Ocean marketplace, and used to fine-tuned language models, for instance.
1 Like

This ideas seems to be a really needy one and the Web3 peer to peer system could solve the problem in imo .

I would be interested to know more about the KYC’ing of the physicians , on How will you manage to ensure that the person is a real & certified physician on chain ??

Maybe it could be done via Real Interviews and Ground check , but then this would actually create issue on a scale.

Thx for the reply- at MedDAO we have developed MedCred which is a soulbound NFT that verifies a physician’s credentials. We are currently leveraging KYC from Persona to verify a submitter’s name, and then we match that name to the National Provider Identification (NPI) number to verify their medical specialty- the MedCred NFT is then minted to their wallet. See docs and specs here:

This proposal sounds interesting and useful. This definitely has potential to help the healthcare sector. Rooting for the team :smiley: