by Massachusetts General Hospital Credit: CC0 Public Domain Polygenic risk scores (PRS) are promising tools for predicting disease risk, but current versions have built-in bias that can affect their accuracy in some populations and result in health disparities. However, a team of researchers from Massachusetts General Hospital (MGH), the Broad Institute of MIT and Harvard,...
by Cleveland Clinic Credit: CC0 Public Domain A computer model developed by Cleveland Clinic oncologist Timothy Chan, MD, Ph.D., and colleagues accurately predicts whether immune checkpoint blockade (ICB) will be effective in patients diagnosed with a wide variety of cancers. The forecasting tool, developed using machine learning, assesses multiple biological and clinical variables in an individual...
