They built multiple models starting from the base model, including basic clinical data such as age, gender, and extent of resection, and showed incremental performance to predict OS in GBM patients by adding multiple layers of prognostic information, including radiomics, MGMT methylation, and genomic data obtained by NGS sequencing of the tumor samples (Table 3). The gene discussed is MGMT; the disease is glioblastoma.