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Problem Statement
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-   Underutilized data from increasing CGM adoption.
-   Most of existing data are of clinical/academic nature.
-   Existing models are hard to deploy and use in real-world scenarios and are not user-friendly.
-   Existing data sharing platforms (like Tidepool) sell users' personal information to companies without compensating the data owners. We believe users should be fairly rewarded when their data is sold for commercial purposes. One potential solution is development of smart contracts by the Glucose DAO.


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Proposed Solution
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1.  Establish a decentralized open database of blood glucose values from Continuous Glucose Monitoring (CGM) devices. The data will be contributed by volunteers and may also include relevant health and lifestyle related variables (diseases, weight, height, etc.).
2.  Train models to predict blood glucose trends and fine-tune existing public models on this data. Contribute the model and dataset to GlucoBench benchmark.
3.  Establish a Glucose DAO (Decentralized Autonomous Organization) which will govern data collection and development and will also work on protocols of sharing glucose data and smart contracts that will allow participants to be rewarded in case of commercial applications.


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Roadmap
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Basically follow the steps of the solution. There are three steps that will work in parallel once started. The only difference is in the slight delay between the second (model training) and the others, which is caused by the fact the second step requires some previous editing for it to work (such as scripting, adjusting code and testing).


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Timeline
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In six months we aim to have a dataset and a model trained on it that can show the basis of the original intent.