INS and Hypoglycemia: <h4>Aims/hypothesis</h4>This study aimed to develop an accessible tool, derived using machine learning, to predict hypoglycaemia risk at the start of exercise and to provide clear, rapid risk assessment to support safer participation in exercise.<h4>Methods</h4>Data from four diverse studies were combined, encompassing 16,430 exercise sessions from 834 participants aged 12-80 years using various insulin delivery methods.