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crossrefJournal of Translational Medicine2026-07-25

The hidden effects of metabolism-disrupting agents on alcohol-related liver disease risk: an integrated epidemiological, machine learning, and network toxicology Analysis

Longpeng Ma, Jinning Zhang, Juntong Wei, Wenbo Bian, Tao Bo, Shanshan Shao, et al.

Abstract Background Individual susceptibility to alcohol-related liver disease (ALD) varies substantially despite similar alcohol consumption patterns. Emerging evidence suggests metabolism-disrupting agents (MDAs) may synergistically amplify alcohol-induced hepatotoxicity, yet p…

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openalexJournal of Translational Medicine2026-07-24

P4HA1⁺ collagen-modifying fibroblasts are associated with pro-tumor niches and therapeutic vulnerabilities in colorectal cancer

Kai Gui, Yuehua Chen, Qinqin Du, Ke Lv, W Y Wang, Ziyun Li, et al.

Cancer-associated fibroblasts (CAFs) are a major stromal component of the tumor microenvironment (TME) and actively participate in tumor progression. Although CAF heterogeneity in colorectal cancer (CRC) is increasingly recognized, how individual CAF subpopulations simultaneously…

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openalexJournal of Translational Medicine2026-07-24

Interpretable machine learning model for brain metastasis in breast cancer: a large-scale, multi-center study

Quan Yuan, Yupeng Sha, Rui Yu, Hao Yu, Rongjie Ye, Yi Du, et al.

Brain metastasis (BM) is a devastating complication of breast cancer (BC) with a poor prognosis. Early identification of high-risk patients is essential but currently lacks accurate predictive tools. This study aimed to develop a stable machine learning model for predicting BM in…

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