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TEWS: Transformer-empowered weakly supervised prediction of immune score and genetic mutations in liver cancer from whole slide image.

Computational biology and chemistry - 1 Apr 2026

Wang Bin, Chen Xianchuan, Li Ying, Wang Huiqing, Wang Keke, Li Xiaoyan

Abstract excerpt

Whole Slide Imaging (WSI) plays a crucial role in predicting immune scores by providing detailed cellular and tissue-level insights, thereby enhancing pathological diagnosis accuracy and biomarker detection. Additionally, WSI contributes essential information for personalized treatment decisions. However, the application of deep learning models to WSI is hindered by two major challenges. First, the substantial...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 41455181
DOI: 10.1016/j.compbiolchem.2025.108837

Genes

CSMD1
TP53

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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