Researchers from the MUSC Hollings Cancer Center have developed a machine learning–based model that can identify patients at high risk of serious complications after stem cell and bone marrow transplantation months before clinical symptoms appear. The tool, called BIOPREVENT, focuses on predicting chronic graft-versus-host disease (GVHD) and transplant-related mortality. These are two major causes of […]
