Building predictive disease models using extracellular vesicle microscale flow cytometry and machine learning

Building predictive disease models using extracellular vesicle microscale flow cytometry and machine learning

Extracellular vesicles (EVs) are highly abundant in human biofluids, containing a repertoire of macromolecules and biomarkers representative of the tissue of origin. EVs released by tumours can communicate key signals both locally and to distant sites to promote growth and survival or impact invasiv...

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Bibliographic Details
Main Authors: Robert J. Paproski, Desmond Pink, Deborah L. Sosnowski, Catalina Vasquez, John D. Lewis
Format: Article
Language:English
Published: Wiley 2023-03-01
Series:Molecular Oncology
Subjects:
cancer prediction
diagnostic test
extracellular vesicles
machine learning
microflow cytometry
prostate cancer
Online Access:https://doi.org/10.1002/1878-0261.13362

Internet

https://doi.org/10.1002/1878-0261.13362

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