Further, we investigate if the integration of static participant information (gender, age, BMI, time since T1D was diagnosed, etc.)can help to calibrate the forecasting algorithms, e.g., to account for age- and weight dependent insulin requirements (31). Here, INS is linked to type 1 diabetes mellitus.