학술논문
Machine learning on syngeneic mouse tumor profiles to model clinical immunotherapy response.
Document Type
Article
Author
Source
Subject
*MACHINE learning
*LIFE sciences
*CELL adhesion molecules
*CLINICAL decision support systems
*MICE
*IMMUNOTHERAPY
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Language
ISSN
2375-2548
Abstract
The article presents a study which performed a meta-analysis on the syngeneic mouse models to better understand factors underlying immune checkpoint blockade (ICB) immunotherapy response. Topics discussed include training and validation of the framework on syngeneic mouse tumors, predictive power of the framework on clinical ICB response, and prediction of cancer types that could benefit from ICB.