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Get Free AccessThis work was also supported by a sponsored research agreements from Navigate Biopharma and NextCure and by grants from the NIH including the Yale SPORE in in Skin Cancer, P50 CA121974, the Yale SPORE in Lung Cancer, P50 CA196530, NYU SPORE in Skin Cancer P50CA225450 and the Yale Cancer Center Support Grant, P30CA016359.
Thazin Nwe Aung, Saba Shafi, James S. Wilmott, Saeed Nourmohammadi, Ioannis Vathiotis, Niki Gavrielatou, Aileen I. Fernandez, Vesal Yaghoobi, Tobias Sinnberg, Teresa Amaral, Kristian Ikenberg, Kiarash Khosrotehrani, Iman Osman, Balázs Ács, Yalai Bai, Sandra Martínez-Morilla, Myrto Moutafi, John F. Thompson, Richard A Scolyer, David L. Rimm (2022). Objective assessment of tumor infiltrating lymphocytes as a prognostic marker in melanoma using machine learning algorithms. , 82, DOI: https://doi.org/10.1016/j.ebiom.2022.104143.
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Type
Article
Year
2022
Authors
20
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1016/j.ebiom.2022.104143
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