Objective assessment of tumor infiltrating lymphocytes as a prognostic marker in melanoma using machine learning algorithms

BACKGROUND: The prognostic value of tumor-infiltrating lymphocytes (TILs) assessed by machine learning algorithms in melanoma patients has been previously demonstrated but has not been widely adopted in the clinic. We evaluated the prognostic value of objective automated electronic TILs (eTILs) quan...

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Detalles Bibliográficos
Autores principales: Aung, Thazin Nwe, Shafi, Saba, Wilmott, James S., Nourmohammadi, Saeed, Vathiotis, Ioannis, Gavrielatou, Niki, Fernandez, Aileen, Yaghoobi, Vesal, Sinnberg, Tobias, Amaral, Teresa, Ikenberg, Kristian, Khosrotehrani, Kiarash, Osman, Iman, Acs, Balazs, Bai, Yalai, Martinez-Morilla, Sandra, Moutafi, Myrto, Thompson, John F., Scolyer, Richard A., Rimm, David L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9272337/
https://www.ncbi.nlm.nih.gov/pubmed/35810563
http://dx.doi.org/10.1016/j.ebiom.2022.104143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9272337/
https://www.ncbi.nlm.nih.gov/pubmed/35810563
http://dx.doi.org/10.1016/j.ebiom.2022.104143

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