Predicting HER2 overexpression in prostate cancer using machine learning: implications for personalized therapy

The combined model effectively predicts HER2 overexpression in prostate cancer, with potential to inform more personalized treatment strategies for HER2-overexpressing PCa patients.

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Publication Details

Journal
Frontiers in Oncology
Published
2026-01-13
DOI
https://doi.org/10.3389/fonc.2025.1707946
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting HER2 overexpression in prostate cancer using machine learning: implications for personalized therapy

Xuantong Huang, Hongqian Guo, Xiaozhi Zhao, Jie Gao et al.
Frontiers in Oncology
Radiomics and Machine Learning in Medical Imaging
article

Predicting HER2 overexpression in prostate cancer using machine learning: implications for personalized therapy

Xuantong Huang, Hongqian Guo, Xiaozhi Zhao, Jie Gao, Qing Zhang, Xun Wang, Zhen Jiang, Danyan Li
article en

Abstract

The combined model effectively predicts HER2 overexpression in prostate cancer, with potential to inform more personalized treatment strategies for HER2-overexpressing PCa patients.

Frontiers in OncologyVol. 15
Nanjing Drum Tower Hospital (CN), Nanjing University (CN)
Reduced inequalities
Openalex Percentile: Top 91%
Radiomics and Machine Learning in Medical Imaging
DOIOpen Access PDFOpenAlex
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