An integrated deep learning model to accurately predicts DNA methylation signatures and tumor types from histopathology in central nervous system tumors

We are going to use special computer programs (i.e., deep learning method) to look at brain tumor pictures (Histopathological slides) from the Children’s Brain Tumor Network. These programs can find patterns in the pictures that might not be obvious to humans. By spotting these patterns, we hope to better understand the differences between various types of brain tumors. This could help doctors diagnose and treat brain tumors more effectively.