Fourteen-day continuous glucose monitoring (CGM) traces added to Diabetes Control and Complications Trial (DCCT) data can ...
Researchers at Emory University have developed a groundbreaking artificial intelligence (AI) model capable of accurately ...
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Data from continuous glucose monitors can predict nerve, eye and kidney damage caused by type 1 diabetes, University of ...
Data from continuous glucose monitors can predict nerve, eye and kidney damage caused by type 1 diabetes researchers have found. That suggests doctors may be able to use data from the devices to help ...
A research study from the University of Virginia Center for Diabetes Technology suggests that data from continuous glucose monitors (CGMs) can predict the development of serious complications in ...
Data from continuous glucose monitors can predict nerve, eye and kidney damage caused by type 1 diabetes, UVA researchers ...