Showing 241 - 260 results of 398 for search '"Chongqing Medical University"', query time: 0.06s Refine Results
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    Potential Functions and Causal Associations of GNLY in Primary Open-Angle Glaucoma: Integration of Blood-Derived Proteome, Transcriptome, and Experimental Verification by Wang D, Pu Y, Gao X, Zeng L, Li H

    Published 2025-01-01
    “…Dangdang Wang,1,2,* Yanyu Pu,1,2,* Xi Gao,1,2 Lihong Zeng,1,2 Hong Li1,2 1Department of Ophthalmology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China; 2Chongqing Key Laboratory for the Prevention and Treatment of Major Blinding Eye Diseases, Chongqing Eye Institute, Chongqing Branch of National Clinical Research Center for Ocular Diseases, Chongqing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Hong Li, Department of Ophthalmology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China, Email lihong@hospital.cqmu.edu.cnPurpose: Genome-wide association studies (GWAS) have identified multiple genetic loci associated with primary open-angle glaucoma (POAG). …”
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    Predicting recurrence of non-muscle invasive bladder urothelial carcinoma: predictive value of the optimal cut-off value of Ki67 by Rende Peng, Yaoyu Zhang, Mingzhu Jia, Xinping Yi, Xiaoyao Yi, Shadan Li, Jiangchuan Pi, Wenjun Meng

    Published 2025-01-01
    “…ObjectiveTo investigate the optimal cut-off value of immunohistochemical marker Ki67 as a prognostic factor to predict the recurrence of non-muscle invasive bladder urothelial carcinoma (NMIBUC).MethodsA total of 331 patients diagnosed with NMIBUC who underwent surgery in the Yongchuan Hospital and the Second Affiliated Hospital of Chongqing Medical University from January 2012 to January 2020 were finally included in this study. …”
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    Preliminary application of a cervical vertebra segmentation method based on Transformer and diffusion model for lateral cephalometric radiographs in orthodontic clinical practice by LIU Yang, WU Mengyi, HU Yao, QI Kun, WANG Yubin, ZHAO Yue, SONG Jinlin

    Published 2024-12-01
    “…Objective·To construct a cervical vertebra image segmentation model by using a diffusion model with the Transformer deep learning algorithm, and evaluate its segmentation performance, to address the clinical challenge of accurately assessing complex changes in skeletal morphology during the growth and developmental peaks of malocclusion.Methods·Accurate cervical vertebra segmentation was performed on cephalometric radiographs from 185 orthodontic patients (44 cases from the Stomatological Hospital of Chongqing Medical University and 141 cases from the Stomatological Hospital of Xi'an Jiaotong University) by using a method combining Transformer and diffusion models. …”
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