Showing 601 - 620 results of 1,220 for search '"Peking"', query time: 0.05s Refine Results
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    Externally validated nomogram for predicting short-term pregnancy outcome of singleton pregnancies with fetal growth restriction (FGR) by Yang Li, Xiaohong Zhang, Junshu Xie, Fufen Yin, Mingrui Jin, Yujing Li, Xiuju Yin

    Published 2024-04-01
    “…Objective This study aimed at developing an available predictive model of singleton pregnancies with fetal growth restriction (FGR) for accurate and individualised prognosis assessment.Methods The prediction nomogram was developed by using multivariable Cox regression with data for 301 singleton FGR pregnancies at Peking University People’s Hospital. External validation was performed in 321 eligible singleton FGR pregnancies at the Affiliated Hospital of Qingdao University.Results Absent umbilical arterial flow, fetal anomaly, history of abnormal pregnancy, non-cephalic presentation and history of caesarean section were independent prognostic factors for adverse perinatal outcomes in singleton FGR pregnancies in the training set. …”
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    Feasibility and safety evaluation of ultra-remote robot-assisted laparoscopic hysterectomy by Juyuan Huang, Li'an Li, Jing Cheng, Jing Liao, Yurou Chen, Yi Peng, Sha Wang, Qiongyan Zou, Guoyan Zhao, Wei Zhao, Mengya You, Jingying Yang, Yan Xiong, Kunxian Zhang, Chang Chen, Jiaqiang Xiong, Haotong Guan, Renjie Liu, Peng Zhou, Wuyi Zhao, Yangyang Dong, Xiuli Sun, Sichen Liang, Wei Zhang, Jianliu Wang, Yuanguang Meng

    Published 2024-01-01
    “…The procedure was simultaneously broadcast during the 36th Annual Meeting of the International Society for Gynecologic Endoscopy in Conjuction with the Peking University Gynecologic Oncology Summit Forum. …”
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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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