Integrating Multiplex Immunohistochemistry and Machine Learning for Glioma Subtyping and Prognosis Prediction

Integrating Multiplex Immunohistochemistry and Machine Learning for Glioma Subtyping and Prognosis Prediction

ABSTRACT Glioma subtyping is crucial for treatment decisions, but traditional approaches often fail to capture tumor heterogeneity. This study proposes a novel framework integrating multiplex immunohistochemistry (mIHC) and machine learning for glioma subtyping and prognosis prediction. 185 patient...

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Bibliographic Details
Main Authors: Houshi Xu, Zhen Fan, Shan Jiang, Maoyuan Sun, Huihui Chai, Ruize Zhu, Xiaoyu Liu, Yue Wang, Jiawen Chen, Junji Wei, Ying Mao, Zhifeng Shi
Format: Article
Language:English
Published: Wiley 2025-05-01
Series:MedComm
Subjects:
glioma
machine learning
mIHC
molecular subtype
prognosis
Online Access:https://doi.org/10.1002/mco2.70138
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https://doi.org/10.1002/mco2.70138

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