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Hong Chang Chen

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Articles

Integrative 3D genome and epigenomic analysis identifies TP53RK and SYBU as critical regulators of stemness and anti-tumor immunity in HCC

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By Yanmei Yang, Peixian Li, Liangbo Zhao, Lingwei Zhang, Hong Chang Chen, Hao Xing, Pingping Zhu, Jing An, Luyun He, Shuiling Jin, Nian Liu Verified, Shuaixi Yang, Xiao Sun, Benyu Liu
| Cell Reports Verified
ArticleVolume 45, Issue 8117797Open access Affiliations & Notes 1State Key Laboratory of Metabolic Dysregulation & Prevention and Treatment of Esophageal Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, School of Convergence Medicine, Zhengzhou University, Zhengzhou, China 2Aging Decoding and Regeneration Institute, School of Life Sciences, Zhengzhou University, Zhengzhou, China 3Zhengzhou Key Laboratory of Lipid Metabolism and Precision Diagnosis & Treatment in Oncology, Oncology...
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Spatially Hierarchical Gradient Orientation of Liquid Crystal Gels for Antagonistic Cooperative Actuation

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By Hong Chang Chen, Yujie Cai, Xin Yao
| Wiley Online Library Verified
Hong Chen and Yujie Cai contributed equally to this work. Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that supports the findings of this study are available in the Supporting Information of this article. Supporting Information Filename Description anie73819-sup-0001-SuppMat.pdf13.3 MB The authors have cited additional references within the Supporting Information [57-60]. Supporting File 1: anie73819-sup-0001-SuppMat.pdf.
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Generating guideline-concordant and safe recommendations for diabetic kidney disease management via a hierarchical retrieval-augmented large language model

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By Xuan Tao, Lan Tian, Chenhao Fang, Jin-Hao Li, Jia-Qi Lin, Xiao-Jie Liu, Zi-Hang Chen, Yi-nan Wu, Hong Chang Chen, Xin-ying Song, Yan-hong Lin, Ze-yang Zhu, Min-xia Wang, Wan-xuan Chen, Jian-ya Xu
| Nature Verified
Abstract Managing diabetic kidney disease (DKD) is inherently complex, requiring clinicians to synthesize patient history, fluctuating biomarkers, and evolving treatment guidelines. While large language models (LLMs) show promise in medical decision support, their clinical adoption is hindered by factual inaccuracies and a lack of specific reasoning required for individualized patient management.
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