CGMformer pretrained on a diverse corpus of CGM data captures individual’s glucose dynamics and enables clinical applications. (IMAGE)
Caption
CGMformer is first self-supervised pretrained on CGM data to gain fundamental knowledge of the glucose dynamics, and then applied to a multitude of downstream clinical applications. The extractable contextual time point and individual embeddings can be used as an intrinsic representation for daily glucose profiles in clinical applications including screening, subtyping, and postprandial glucose prediction and dietary suggestion.
Credit
©Science China Press
Usage Restrictions
Use with credit.
License
Original content