docs aireadi org docs-2 d4d

The AI-READI Flagship Dataset of Type 2 Diabetes is a multimodal research dataset consisting of data collected from individuals with and without Type 2 Diabetes Mellitus (T2DM), harmonized across three data collection sites. The dataset was designed with future AI/Machine Learning studies in mind, including recruitment aimed at achieving approximately equal distribution across diabetes severity and a standardized acquisition protocol spanning multiple domains (survey data, physical measurements, clinical data, imaging data, wearable device data, etc.). The project goal is to better understand salutogenesis (the pathway from disease to health) in T2DM. Public, non-sensitive data are available for download upon agreement with a license, while the full dataset is available under a data use agreement (DUA). Early releases (pilot phase) and periodic updates may not achieve balanced distributions across groups due to ongoing enrollment.