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Yesterday I shared about Autonomous Vehicles (AVs), here is another

specific applications for a Web3 data substrate is Health sector 👨‍⚕

Earlier detection of cancer leads to earlier treatment, saving lives. A friend of mine builds Genetic Programming models to predict cancer. He’s happy if he has a dataset of 100 points, which, alas, means his models have poor predictive ability. Furthermore, each hospital site has bias due to differences in data collection, like how long a sample sits in a Petri dish before it’s measured. What if we could build models from data in 10 or 100 or more hospitals, while preserving privacy? There’s a way: bring the compute to the data, and build a model across hospitals using federated learning.
This is the direction for ConnectedLife, working on Parkinson’s, and leveraging Ocean Web3 data substrate.

- Trent

Couple of references:

👉One of the OceanDAO round 13 winning project: HealthClaims - a real-time digital verification health record on OCEAN.

👉Marielle S. Gross, M.D., OB-GYN and Postdoctoral Fellow at Johns Hopkins Berman Institute of Bioethics, speaking about the oversharing and myths of de-identification of sensitive health data in the eighth episode of Voices of The Data Economy.

👉X-Ray Vision, a healthcare use case, powered by decentralized data science using Ocean Protocol.

👉Ocean Protocol and Zühlke team up to push an Open Data Economy for Healthcare.

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this is why i love ocean

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