INS and type 1 diabetes mellitus: (28) utilized GluNet, a personalized deep neural network framework, to predict the short-term (30-60 minutes) probability distribution of future CGM values in T1D subjects using historical data, including glucose measurements, dietary information, insulin dosage, and other factors.