They were able to achieve an AUC of 0.86 with only 10 features and were able to predict 100% of IDH-mutant gliomas from IDH-WT gliomas using 86 features (AUC = 1.0) on the training set with 158 patients and an AUC of 0.99 using 86 features on the validation set with 102 patients [13]. The gene discussed is IDH1; the disease is glioma.