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

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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Bibliographic Details
Main Authors: Maurizio Polano, Marco Chierici, Michele Dal Bo, Davide Gentilini, Federica Di Cintio, Lorena Baboci, David L. Gibbs, Cesare Furlanello, Giuseppe Toffoli
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Cancers
Subjects:
immunology-pancancer
immune checkpoint inhibitor
machine learning
Online Access:https://www.mdpi.com/2072-6694/11/10/1562

Internet

https://www.mdpi.com/2072-6694/11/10/1562

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