A recent study by Guojing Li and colleagues uses a LightGBM model to predict acute kidney injury in diabetic patients with heart failure. Utilizing data from critically ill patients, the study shows how machine learning can bring precision to early risk detection, offering valuable insights for improved clinical decision-making.