An innovative model for determining a person's risk of developing type 2 diabetes (T2D) overcomes many of the challenges associated with estimating the onset of a chronic condition based on the usual sequence of comorbid conditions that lead up to a diagnosis of T2D. In addition to identifying a typical T2D trajectory, the new model has shown that people who follow atypical trajectories can face significantly increased or decreased risks of developing T2D, according to an article in Big Data.