MGMT and glioma: CNNs are a class of DL models adept at processing imaging and other structured grid data to automatically extract features [50]; they have been used to differentiate between low- and high-grade gliomas [51], accurately delineate tumor boundaries through MRI segmentation [52], or even predict molecular markers such as MGMT promoter methylation status from MRI scans [53].