As highlighted in our study, models such as XGBoost and Random Forest integrate dynamic intraoperative variables (e.g., hypotension episodes, cardiopulmonary bypass duration) and biomarkers (e.g., NGAL, angiopoietin-2) to predict AKI risk in real time (18, 49, 50). The gene discussed is ANGPT2; the disease is acute kidney injury.