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Showing 1–2 of 2 results
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  • Hinestrosa et al. developed a machine learning classifier for the detection of early-stage pancreatic cancer using a blood-based extracellular vesicle protein assay. The algorithm successfully classifies cancer cases versus healthy and pancreatitis controls with high sensitivity and specificity.

    • Juan Pablo Hinestrosa
    • Rosalie C. Sears
    • Paul R. Billings
    ResearchOpen Access
    Communications Medicine
    Volume: 3, P: 1-9

  • Hinestrosa et al. describe the early-stage detection of cancer using biomarkers present in circulating extracellular vesicles purified via an alternating current electrokinetics platform. They show, in a case-control study, that 95.7% of pancreatic, 75.0% of ovarian and 43.8% of bladder stage I and II cancers can be detected.

    • Juan Pablo Hinestrosa
    • Razelle Kurzrock
    • Rajaram Krishnan
    ResearchOpen Access
    Communications Medicine
    Volume: 2, P: 1-9