Using histopathology to discover genetic alterations in pediatric brain tumors

In depth understanding of the molecular make up of brain tumors is critical to inform therapy decision making. Often tumor tissue is limited for this type of analysis and it will be very beneficial to derive detail molecular information from basic pathology slides. Herein we aim to use machine learning to develop such program that will allow us to predict the molecular make up based on analysis of standard pathology slides.