Particularly, based on the LASSO (least absolute shrinkage and selection operator) regression model, which is an automated ML approach that automatically selects the best predictive features from the cohort, multiple radiomic features, such as the MRS-related Cho/Cr ratio and Lac, and the percentage of core necrotic volume, were significantly higher in TERT-mutated gliomas as compared to TERT wild-type gliomas [148]. The gene discussed is TERT; the disease is glioma.