Nagaraj SB, Pena MJ, Ju W, et al. - Researchers conducted the study for predicting end‐stage renal disease (ESRD) in patients with type 2 diabetes by using machine‐learning models with multiple baseline demographic and clinical features. A total of 11,789 patients with type 2 diabetes and nephropathy from three clinical trials, RENAAL (n = 1513), IDNT (n = 1715) and ALTITUDE (n = 8561), were used in this study. Non‐linear machine‐learning models can be used to predict long‐term ESRD in patients with type 2 diabetes and nephropathy using baseline demographic and clinical characteristics despite large inter‐patient variability. In order to identify high‐risk patients who might benefit from therapy in clinical practice, the proposed method has the potential to establish reliable and multiple outcome prediction automated models.