Based on machine learning (ML) algorithms, the researchers identified that the expression levels of ENST00000331581 (CADM1), ENST00000372572 (FOXJ3), and ENST00000311550 (GABRB3) achieved an accuracy of 95.4% for predicting AD diagnosis (Table 5). Here, FOXJ3 is linked to Alzheimer disease.