Radiomics predicts poorly differentiated hepatocellular carcinoma and uncovers ribosomal-immune dysregulation mechanism

iScience 2026 Open access

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Authors: Yiping Gao, Dong Liu, Yifan Miao, Zhiqian Lou, Ziwei Luo, Yonggang Li, Hongfa Cai, Yan Zhu, Shuangqing Chen
DOI: 10.1016/j.isci.2026.114699
Cited by: 1
References: 23

Abstract

< 0.0001; C index 0.643). This integrated radiogenomic approach enables noninvasive ES grading and provides insight into biologically relevant tumor heterogeneity.

Fields of Study & Subjects

Radiomics and Machine Learning in Medical Imaging Cancer Immunotherapy and Biomarkers Hepatocellular Carcinoma Treatment and Prognosis

Publication details

Journal / source
iScience
Publisher
Elsevier BV
Volume
29
Issue
2
Pages
114699–114699
Publication date
20 January 2026
Language
EN