Showing 2,481 - 2,500 results of 2,528 for search '"Guangzhou"', query time: 0.09s Refine Results
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    Significance of supervision sampling in control of communicable respiratory disease simulated by a new model during different stages of the disease by Alphonse Houssou Hounye, Xiaogao Pan, Yuqi Zhao, Cong Cao, Jiaoju Wang, Abidi Mimi Venunye, Li Xiong, Xiangping Chai, Muzhou Hou

    Published 2025-01-01
    “…Ultimately, we conducted simulations and predictions for other prominent cities in China, such as Wuhan, Shanghai, Guangzhou, and Shenzhen, that have recently been affected by the COVID-19 outbreak. …”
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  6. 2486
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    A qualitative study of stigma in patients with low anterior resection syndrome of rectal cancer (直肠癌低位前切除综合征患者病耻感的质性研究) by WEN Ruizhen (温瑞珍), CHEN Piao (陈飘), LI Yalan (李亚兰), CAO Aifang (曹爱芳), WANG Miaolan (王淼兰), ZHENG XiaoXuan (郑筱暄), PENG Hui (彭慧)

    Published 2024-12-01
    “…Methods Purposive sampling method was used to select the patients with LARS symptoms after rectal surgery of a Class Ⅲ Grade A hospital in Guangzhou from March 2024 to May 2024 as subjects. …”
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    Development and Validation of a Cost-Effective Machine Learning Model for Screening Potential Rheumatoid Arthritis in Primary Healthcare Clinics by Wu W, Hu X, Yan L, Li Z, Li B, Chen X, Lin Z, Zeng H, Li C, Mo Y, Wu Y, Wang Q

    Published 2025-02-01
    “…Wenqi Wu,1,2,* Xiaohao Hu,1,2,* Linyang Yan,3,* Zhiyin Li,4 Bo Li,5 Xinpeng Chen,6 Zexun Lin,7 Huiqiong Zeng,8 Chun Li,9 Yingqian Mo,10 Yalin Wu,3 Qingwen Wang1,2 1Department of Rheumatology and Immunology, Peking University Shenzhen Hospital, Shenzhen, People’s Republic of China; 2Shenzhen Key Laboratory of Inflammatory and Immunology Diseases, Shenzhen, People’s Republic of China; 3Department of Ultrasound, Institute of Ultrasonic Medicine, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen, 518036, People’s Republic of China; 4Department of Information Systems, City University of Hong Kong, Hong Kong, People’s Republic of China; 5Department of Rheumatology and Immunology, People’s Hospital of Longhua District, Shenzhen, People’s Republic of China; 6Department of Rheumatology and Immunology, Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, People’s Republic of China; 7Shenzhen Nanshan Medical Group HQ Taohuayuan Community Health Service Center, Shenzhen, People’s Republic of China; 8Traditional Chinese Medicine Department of Rheumatism, Women & Children Health Institute, Shenzhen, People’s Republic of China; 9Department of Rheumatology and Immunology, Peking University People’s Hospital, Beijing, People’s Republic of China; 10Department of Rheumatology and Immunology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yalin Wu; Qingwen Wang, Email yalinwu@jj.ac.kr; wangqingwen@pkuszh.comObjective: In primary healthcare, diagnosing rheumatoid arthritis (RA) is challenging due to a general lack of in-depth knowledge of RA by general practitioners (GPs) and the lack of effective tools, leading to high rates of missed diagnosis. …”
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    TRACE Model: Predicting Treatment Response to Transarterial Chemoembolization in Unresectable Hepatocellular Carcinoma by Wang W, Zhang Q, Cui Y, Zhang S, Li B, Xia T, Song Y, Zhou S, Ye F, Xiao W, Cao K, Chi Y, Qu J, Zhou G, Chen Z, Zhang T, Chen X, Ju S, Wang YC

    Published 2025-01-01
    “…Weilang Wang,1,* Qi Zhang,2,* Ying Cui,1,* Shuhang Zhang,1 Binrong Li,1 Tianyi Xia,1 Yang Song,3 Shuwei Zhou,1 Feng Ye,4 Wenbo Xiao,5 Kun Cao,6 Yuan Chi,7 Jinrong Qu,8 Guofeng Zhou,9,10 Zhao Chen,11 Teng Zhang,12 Xunjun Chen,13 Shenghong Ju,1 Yuan-Cheng Wang1 1Department of Radiology, Zhongda Hospital, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, School of Medicine, Southeast University, Nanjing, 210009, People’s Republic of China; 2Center of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, People’s Republic of China; 3MR Scientific Marketing, Siemens Healthineers Ltd, Shanghai, People’s Republic of China; 4Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China; 5Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People’s Republic of China; 6Department of Radiology, Peking University Cancer Hospital and Institute, Beijing, People’s Republic of China; 7Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, People’s Republic of China; 8Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, People’s Republic of China; 9Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China; 10Shanghai Institute of Medical Imaging, Shanghai, People’s Republic of China; 11Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China; 12Institute for Artificial Intelligence in Medicine, School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, People’s Republic of China; 13Department of Radiology, The People’s Hospital of Xuyi County, Huaian, Jiangsu, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yuan-Cheng Wang, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, 87 Ding Jia Qiao Road, Nanjing, Jiangsu, 210009, People’s Republic of China, Tel +086 25 83272121, Fax +086 25 83311083, Email yuancheng_wang@seu.edu.cnPurpose: To develop and validate a predictive model for predicting six-month outcome by integrating pretreatment MRI features and one-month treatment response after TACE.Methods: A total of 108 patients with 160 hCCs from a single-arm, multicenter clinical trial (NCT03113955) were analyzed and served as the training cohort. …”
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    Characteristics of Traditional Human Settlement Landscapes on Bedrock Islands in Guangdong Based on the “Ao” Unit by Ying PAN, Linxi CHEN, Ying SHI

    Published 2025-02-01
    “…This research zeroes in on the traditional human settlement landscape on bedrock islands in Guangzhou, aiming to elucidate the characteristics of these traditional landscapes and the patterns of human settlement development with “Ao” as the fundamental unit. …”
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  20. 2500

    Whole-genome analysis of a ST45-SCCmec IVa (2B)-t116 methicillin-resistant Staphylococcus aureus strain isolated from the sputum of a 5-year-old child with pneumonia by Lin Huang, Rui Guo, Jingxian Lin, Xiaowei Li, Zhicong Li, Limei Zhang, Wenting Li, Rui Xue, Cheng Zhang, Xiaosan Feng, Xiaobin Li, Xiaobin Li

    Published 2025-01-01
    “…IntroductionMethicillin-resistant Staphylococcus aureus (MRSA) sequence type (ST) 45 is a major global MRSA lineage with huge strain diversity and a high clinical impact. In Hainan and Guangzhou of China, the ST45-MRSA was mainly associated with t116.MethodsThe MRSA strain SA2107 was isolated from the sputum of a 5-year-old child with pneumonia. …”
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