Researchers Caixia Fang et al. have developed a LightGBM-based predictive model that accurately identifies cognitive impairment in cholestasis patients. The model integrates factors like age and plasma D-dimer levels for early risk stratification, offering a promising tool for precision medicine. (Source: BMC Gastroenterology, 2025)