Artificial intelligence-based digital pathology using H&E-stained whole slide images in immuno-oncology: from immune biomarker detection to immunotherapy response prediction

Artificial intelligence-based digital pathology using H&E-stained whole slide images in immuno-oncology: from immune biomarker detection to immunotherapy response prediction

Immuno-oncology and the advent of immunotherapies, in particular immune checkpoint inhibitors (ICIs), have fundamentally altered the way we treat cancer. Yet only a small subset of patients actually responds to ICIs, and many face significant adverse effects, making the accurate selection of patient...

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Main Authors: Yeseul Kim, Eugene Kim, Young Kwang Chae, Jaeyoun Choi, Chan Mi Jung, Christmann Low, Ju Young Lee, Jonghanne Park, Sukjoo Cho, Lee Cooper, Jessica Zhang, Horyun Choi, Allen Cho, Emma J Yu, Jeffrey H Chuang
Format: Article
Language:English
Published: BMJ Publishing Group 2025-08-01
Series:Journal for ImmunoTherapy of Cancer
Online Access:https://jitc.bmj.com/content/13/8/e011346.full
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https://jitc.bmj.com/content/13/8/e011346.full

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