A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning

Immunotherapy by using immune checkpoint inhibitors (ICI) has dramatically improved the treatment options in various cancers, increasing survival rates for treated patients. Nevertheless, there are heterogeneous response rates to ICI among different cancer types, and even in the context of patients...

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Detalles Bibliográficos
Autores principales: Polano, Maurizio, Chierici, Marco, Dal Bo, Michele, Gentilini, Davide, Di Cintio, Federica, Baboci, Lorena, Gibbs, David L., Furlanello, Cesare, Toffoli, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6827166/
https://www.ncbi.nlm.nih.gov/pubmed/31618839
http://dx.doi.org/10.3390/cancers11101562

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6827166/
https://www.ncbi.nlm.nih.gov/pubmed/31618839
http://dx.doi.org/10.3390/cancers11101562

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