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Diagnostic Techniques, Urological

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Identifying prostate cancer and its clinical risk in asymptomatic men using machine learning of high dimensional peripheral blood flow cytometric natural killer cell subset phenotyping data.

eLife 32717179
We demonstrate that prostate cancer can be identified by flow cytometric profiling of blood immune cell subsets. Herein, we profiled natural killer (NK) cell subsets in the blood of 72 asymptomatic men with Prostate-Specific Antigen (PSA) levels < 20...
Aged Aged, 80 and over Asymptomatic Diseases Blood Circulation Diagnostic Techniques, Urological Flow Cytometry Humans Killer Cells, Natural Machine Learning Male Middle Aged Practice Guidelines as Topic Prostate-Specific Antigen Prostatic Neoplasms Risk Assessment
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