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
Squad Leads
@ndehouche (HaAI)
@rmsMD_eth (MedDAO)
rms2130#4333
Squad Members:
Links: