This overview examines the integration of machine learning (ML) approaches into diabetes prediction and diagnosis, highlighting the evolution from classical statistical methods to advanced data-driven ...
eGFRdiff and GDF-15 are independent predictors of chronic kidney disease progression and mortality in diabetes, highlighting their potential for risk stratification in clinical practice. Kidney ...
Data from continuous glucose monitors can predict nerve, eye and kidney damage caused by type 1 diabetes, University of Virginia Center for Diabetes Technology researchers have found. That suggests ...
A new study reveals that tracking heart rate variability through simple home devices can help identify gestational diabetes weeks before standard tests, enabling earlier interventions for healthier ...
A new study has identified early-pregnancy gut microbiota signatures associated with the development of gestational diabetes mellitus, a metabolic disorder that carries substantial risks to both ...
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