Shaofeng Wu
31 Papers
Shaofeng Wu is an academic researcher. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 4, co-authored 19 publications.
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Papers
Development and Validation of a Machine Learning-Based Nomogram for Prediction of Ankylosing Spondylitis
Jichong Zhu,Qing Lu,Tuo Liang,JieJiang,Hao Li,Chenxing Zhou,Shaofeng Wu,Tianyou Chen,Jiarui Chen,Guobing Deng,Yuanlin Yao,Shian Liao,Chao Jie Yu,Shengsheng Huang,Xuhua Sun,Liyi Chen,Wenkang Chen,Zhen Ye,Hao Guo,Wuhua Chen,Binguang Fan,Xiang Tao,Xinli Zhan,Chong Liu +23 more
TL;DR: Wang et al. as discussed by the authors used machine learning (ML) methods to construct diagnostic models based on blood routine examination, liver function test, and kidney function test of patients with ankylosing spondylitis.
MMP9 and STAT1 are biomarkers of the change in immune infiltration after anti-tuberculosis therapy, and the immune status can identify patients with spinal tuberculosis.
Chenxing Zhou,Tuo Liang,Jie Jiang,Jiarui Chen,Tianyou Chen,Shengsheng Huang,Liyi Chen,Xuhua Sun,Wenkang Chen,Jichong Zhu,Shaofeng Wu,Binguang Fan,Chong Liu,Xinli Zhan +13 more
TL;DR: In this article , the authors investigated the possible pathogenesis of STB and developed a clinical diagnostic model for STB based on immune cell infiltration using GO enrichment analysis and KEGG pathway analysis.
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Comprehensive AI-assisted tool for ankylosing spondylitis based on multicenter research outperforms human experts
Hao Li,Xiang Tao,Tuo Liang,Jie Jiang,Jichong Zhu,Shaofeng Wu,Liyi Chen,Zide Zhang,Chenxing Zhou,Xuhua Sun,Shengsheng Huang,Jiarui Chen,Tianyou Chen,Zhen Ye,Wuhua Chen,Hao Guo,Yuanlin Yao,Shian Liao,Chao Jie Yu,Binguang Fan,Yihong Liu,Chun-Kuan Lu,Junnan Hu,Qinghong Xie,Xiao Wei,Cairen Fang,Huijiang Liu,Cheng Qun Huang,Shixin Pan,Xinli Zhan,Chong Liu +30 more
TL;DR: In this paper , an ensemble deep learning (DL) model was used to diagnose and predict the course of ankylosing spondylitis (AS) using a dataset of 5389 pelvic radiographs from patients treated at a single medical center between March 2014 and April 2022.
Identification of clinical heterogeneity and construction of a novel subtype predictive model in patients with ankylosing spondylitis: An unsupervised machine learning study.
Xuhua Sun,Chenxing Zhou,Jichong Zhu,Shaofeng Wu,Tuo Liang,Jie Jiang,Jiarui Chen,Tianyou Chen,Shengsheng Huang,Liyi Chen,Zhen Ye,Hao Guo,Xinli Zhan,Chong Liu +13 more
TL;DR: In this article , the authors used unsupervised machine learning (UML) to classify patients with ankylosing spondylitis (AS) based on clinical characteristics, and constructed a novel subtype predictive model for AS based on the clinical classification, after which they investigated the difference in the immune microenvironment to unravel the AS pathogenesis.
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Exploring the causal relationship between inflammatory cytokines and inflammatory arthritis: A Mendelian randomization study.
Shixin Pan,Shaofeng Wu,Yating Wei,Jingjing Liu,Chenxing Zhou,Jichong Zhu,Weiming Tan,Chengqian Huang,Sitan Feng,Wendi Wei,Xinli Zhan,Chong Liu +11 more
TL;DR: This study provides additional insights into the relationship between inflammatory cytokines and inflammatory arthritis, and may offer new clues for the etiology, diagnosis, and treatment of inflammatory arthritis.
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