Jose L et al. developed a CNN model using The Cancer Genome Atlas dataset to classify three types of gliomas considering two molecular markers (IDH mutation and 1p/19q codeletion) based on the 2021 WHO standard, with an accuracy of 86.1% and an AUC of 0.96113. The gene discussed is IDH1; the disease is glioma.