A recent BMJ Open study examined various machine learning models, including XGBoost and logistic regression, to predict type 2 diabetes using lifestyle and body measurements. By highlighting factors such as age and waist circumference, the research points to promising non-invasive early risk assessments for diabetes, paving the way for improved preventive strategies.