For example, the inclusion of 3000 glioma histopathological images generated by GAN in the training set for predicting the status of the glioma marker isocitrate dehydrogenase, significantly increased the prediction accuracy from 0.794 to 0.853 [86]. This evidence concerns the gene IDH3A and central nervous system cancer.