Researchers at Guangzhou Medical University introduced an ML model using CT radiomics to preoperatively assess PD-L1 expression in gastric cancer. By leveraging the LGBM algorithm and SHAP for model transparency, the study demonstrated robust predictive performance. For instance, the wavelet transform feature 'wavelet_LL_ngtdm_Busyness' plays a key role. Readers can explore the full study for actionable insights.