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A Manual of Procedures for the Generation of the AI-Ready and Exploratory Atlas for Diabetes Insights (AI-READI) Database.

Matthies, D. S.; Edberg, J. C.; Baxter, S. L.; Lee, A. Y.; Lee, C. S.; McGwin, G.; Owen, J. P.; Zangwill, L. M.; Owsley, C.; AI-READI Consortium,

2026-04-04 endocrinology
10.64898/2026.03.30.26349552 medRxiv
Show abstract

The ability to understand and affect the course of complex, multi-system diseases like diabetes has been limited by a lack of well-designed, high-quality and large multimodal datasets. The NIH Bridge2AI AI-READI project (aireadi.org) aims to address this shortfall by generating an AI-ready dataset to support AI discoveries in type 2 diabetes mellitus (T2DM). This manual of procedures provides a detailed description of the AI-READI protocol.

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