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Blood Test Developed Using Machine Learning Enables Early-Stage Pancreatic Cancer Detection and Disease Staging

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A multidisciplinary team at the University of Pennsylvania has used machine learning to develop a liquid biopsy that can detect early stages of the most common form of pancreatic cancer by measuring multiple biomarkers in a single blood sample.

In a blinded study, the multi-analyte test was found to be more accurate than single biomarker analysis at detecting pancreatic ductal adenocarcinoma (PDAC), and was also better at staging disease than stand-alone imaging. Read more . . . 


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