Researchers at Gartnavel General Hospital in Glasgow have developed a machine learning model that accurately predicts inpatient hypoglycemic events using capillary blood glucose (CBG) measurements. The model, which focuses solely on CBG data, showed excellent performance in identifying patients at risk for hypoglycemia. The study analyzed a large dataset of CBG information from the Greater Glasgow and Clyde region, generating nearly 5 million rows of data. The researchers plan to further test the model in clinical practice and develop an intervention tool for healthcare professionals. The study has been praised for its potential impact on managing hypoglycemia in inpatient care.