Liver Cancer Detection Score Developed with Machine Learning Analysis of Blood Plasma DNA Fragments
NEW YORK – A team led by Johns Hopkins University has developed a circulating cell-free DNA (cfDNA) “fragmentome” and machine learning approach to boost the detection of hepatocellular carcinoma, suggesting the strategy can help monitor people with viral hepatitis, cirrhosis, non-alcoholic fatty liver disease (NAFLD) and other risk conditions. “Medical societies around the world recommend …
