Increasing application of machine learning in predicting AKI (or prognosis) has been seen in past research reports, and the technology has been modified and implemented for different susceptible populations, including patients in general wards, patients with severe disease, patients with pancreatitis or sepsis, and patients with SGLT-1 hypoglycemic agents, using different modeling strategies. The gene discussed is SLC5A1; the disease is pancreatitis.