Showing 2,121 - 2,140 results of 2,381 for search '"orthopedic"', query time: 0.10s Refine Results
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    Comprehensive Analysis of Programmed Cell Death-Related Genes in Diagnosis and Synovitis During Osteoarthritis Development: Based on Bulk and Single-Cell RNA Sequencing Data by Zhou J, Jiao S, Huang J, Dai T, Xu Y, Xia D, Feng Z, Chen J, Li Z, Hu L, Meng Q

    Published 2025-01-01
    “…JiangFei Zhou,1,* SongSong Jiao,1,* Jian Huang,2,* TianMing Dai,3,* YangYang Xu,1,* Dong Xia,4,* ZhenCheng Feng,1 JunJie Chen,1 ZhiWu Li,5 LiQiong Hu,4 QingQi Meng1,3 1Department of Orthopedics, Guangzhou Red Cross Hospital of Jinan University, Guangzhou, 510220, People’s Republic of China; 2Qingdao Medical College, Qingdao University, Qingdao, 266071, People’s Republic of China; 3Guangzhou Institute of Traumatic Surgery, Guangzhou Red Cross Hospital of Jinan University, Guangzhou, 510220, People’s Republic of China; 4Critical Care Medicine Department, Guangzhou Red Cross Hospital of Jinan University, Guangzhou, 510220, People’s Republic of China; 5Department of Orthopedics, the 2nd People’s Hospital of Bijie, Guizhou, 551700, People’s Republic of China*These authors contributed equally to this workCorrespondence: LiQiong Hu; QingQi Meng, Email 13929526981@163.com; mengqingqi@jnu.edu.cnBackground: Synovitis is one of the key pathological feature driving osteoarthritis (OA) development. …”
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    Mechanisms and new advances in the efficacy of plant active ingredients in tendon-bone healing by Yuan Li, Wei Wang, Wensheng Xu

    Published 2025-01-01
    “…Tendon-bone healing is a significant research topic in orthopedics, encompassing various aspects of sports injuries and postoperative recovery. …”
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    Decoding Gestures in Electromyography: Spatiotemporal Graph Neural Networks for Generalizable and Interpretable Classification by Hunmin Lee, Ming Jiang, Jinhui Yang, Zhi Yang, Qi Zhao

    Published 2025-01-01
    “…In recent years, significant strides in deep learning have propelled the advancement of electromyography (EMG)-based upper-limb gesture recognition systems, yielding notable successes across a spectrum of domains, including rehabilitation, orthopedics, robotics, and human-computer interaction. …”
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