Zhu et al [43] demonstrated that a machine learning model using the expression levels of 6 genes (GNAI1, FYN, PRKCA, YWHAZ, PRKCB, and LYN) in peripheral blood effectively distinguish schizophrenia patients from healthy controls, with the SVM model achieving the highest accuracy (AUC=0.993). The gene discussed is YWHAZ; the disease is schizophrenia.