A laboratory test that uses molecular and clinical markers, as well as machine learning, may help improve the management of pancreatic cysts and reduce unnecessary surgeries, according to data published in Science Translational Medicine.
One of the study authors, Christopher L. Wolfgang, MD, PhD, of the Sol Goldman Pancreatic Cancer Research Center at Johns Hopkins University, said that pancreatic cysts present a fundamental problem for treatment because most of them will never actually progress to cancer, but it is difficult to discern between low- and high-risk.
“We currently do not

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