Prostate Cancer: Early Detection and Assessing Clinical Risk Using Deep Machine Learning of High Dimensional Peripheral Blood Flow Cytometric Phenotyping Data

Detecting the presence of prostate cancer (PCa) and distinguishing low- or intermediate-risk disease from high-risk disease early, and without the need for potentially unnecessary invasive biopsies remains a significant clinical challenge. The aim of this study is to determine whether the T and B ce...

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Detalles Bibliográficos
Autores principales: Cosma, Georgina, McArdle, Stéphanie E., Foulds, Gemma A., Hood, Simon P., Reeder, Stephen, Johnson, Catherine, Khan, Masood A., Pockley, A. Graham
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Immunology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716718/
https://www.ncbi.nlm.nih.gov/pubmed/34975879
http://dx.doi.org/10.3389/fimmu.2021.786828

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716718/
https://www.ncbi.nlm.nih.gov/pubmed/34975879
http://dx.doi.org/10.3389/fimmu.2021.786828

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