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 ...

The same type of machine learning methods used to pilot self-driving cars and beat top chess players could help type-1 diabetes sufferers keep their blood glucose levels in a safe range. Scientists at ...

In a study recently published in the Cell Reports Medicine Journal, scientists utilized plasma protein proteomics to identify proteins associated with the onset of type 1 diabetes. Over 2,250 samples ...

University of Virginia School of Data Science researcher Heman Shakeri has been awarded a major new research grant to lead work at the intersection of machine learning and diabetes care. Shakeri will ...