AI enables large-scale brain tumor study, without sharing patient data


NIBIB in the News
December 8, 2022

Researchers led a large-scale global machine learning effort to securely aggregate knowledge from brain scans of 6,314 glioblastoma (GBM) patients at 71 sites around the globe and develop a model that can enhance identification and prediction of boundaries in three tumor sub-compartments, without compromising patient privacy. Source: University of Pennsylvania School of Medicine/Science Daily