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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
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 |
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