METHOD FOR DIAGNOSIS OF DISEASES BY MICRODURCH FLOW CYTOMETRY

摘要

Disclosed are methods of diagnosing disease, such as clinically significant prostate cancer, in a patient. Also disclosed are methods for identifying a disease signature. The methods involve microflow (μFCM) cytometry to identify particle phenotypes and then using machine learning to determine whether the patient has the disease of interest or the particle phenotypes of a particle disease. The μFCM analysis workflow disclosed herein helps identify the most clinically useful information within μFCM data which may be overlooked by conventional gating analysis.