Predicting the tumor microenvironment composition and immunotherapy response in non-small cell lung cancer from digital histopathology images

Predicting the tumor microenvironment composition and immunotherapy response in non-small cell lung cancer from digital histopathology images

Abstract Immune checkpoint inhibitors (ICI) have become integral to treatment of non-small cell lung cancer (NSCLC). However, reliable biomarkers predictive of immunotherapy efficacy are limited. Here, we introduce HistoTME, a novel weakly supervised deep learning approach to infer the tumor microen...

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Main Authors: Sushant Patkar, Alex Chen, Alina Basnet, Amber Bixby, Rahul Rajendran, Rachel Chernet, Susan Faso, Prashanth Ashok Kumar, Devashish Desai, Ola El-Zammar, Christopher Curtiss, Saverio J. Carello, Michel R. Nasr, Peter Choyke, Stephanie Harmon, Baris Turkbey, Tamara Jamaspishvili
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-024-00765-w
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https://doi.org/10.1038/s41698-024-00765-w

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