Molecular Oncology: Building predictive disease models using extracellular vesicle microscale flow cytometry and machine learning
We developed the extracellular vesicle machine learning analysis platform (EVMAP) to improve the prediction of diseases such as cancer. The platform combines extracellular vesicle analysis using microscale cytometry with a machine learning approach to generate predictive models. In this work, we utilized EVMAP to generate a blood test to predict high-grade prostate cancer in men that was significantly more accurate than the prostate-specific antigen test. This platform could be applied to many different diseases.
