Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Rujing Sun"'
Autor:
Xin Li, Rujing Sun, Jingying Pan, Zhenghan Shi, Zijian An, Chaobo Dai, Jingjiang Lv, Guang Liu, Hao Liang, Jun Liu, Yanli Lu, Fenni Zhang, Qingjun Liu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Rapid and accurate detection of respiratory virus aerosols is highlighted for virus surveillance and infection control. Here, we report a wireless immunoassay technology for fast (within 10 min), on-site (wireless and battery-free), and sens
Externí odkaz:
https://doaj.org/article/281718955c6341609a7f3bb2143d16d7
Autor:
Bingyu Liang, Rujing Sun, Yanyan Liao, Aidan Nong, Jinfeng He, Fengxiang Qin, Yanyun Ou, Jianhua Che, Zhenxian Wu, Yuan Yang, Jiao Qin, Jie Cai, Lijuan Bao, Li Ye, Hao Liang
Publikováno v:
JMIR Public Health and Surveillance, Vol 10, p e45818 (2024)
BackgroundAs the life expectancy of individuals infected with HIV continues to increase, vigilant monitoring of non–AIDS-related events becomes imperative, particularly those pertaining to liver diseases. In comparison to the general population, pa
Externí odkaz:
https://doaj.org/article/87ba6529612549ed804a27af0da78ab3
Publikováno v:
CT Lilun yu yingyong yanjiu, Vol 31, Iss 3, Pp 337-344 (2022)
Objective: To investigate the MRI features and etiology of acute cerebral infarction in bilateral PICA territory. Methods: 38 patients with bilateral PICA and 40 patients with bilateral SCA diagnosed clinically and radiographically in Beijing Friends
Externí odkaz:
https://doaj.org/article/ea58eaa8deed4589be8c69fb92e4eda3
Autor:
Nan Luo, Yi He, Jitao Fan, Ning Guo, Guang Yang, Yuanyuan Kong, Jianyong Wei, Tao Bi, Jie Zhou, Jiaxin Cao, Xianjun Han, Fang Li, Shiyu Zhang, Rujing Sun, Zhaozhao Wang, Tian Ma, Lixue Xu, Hui Chen, Hongwei Li, Zhenchang Wang, Zhenghan Yang, Jing Ni
Publikováno v:
Chinese Medical Journal, Vol 135, Iss 19, Pp 2366-2368 (2022)
Externí odkaz:
https://doaj.org/article/a9bc4e18dc624c6090cddb16b1bc47cd
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
PurposeTo investigate the structural and network topological changes in the white matter (WM) in MMD patients with limb paresthesia by performing diffusion kurtosis imaging (DKI).Materials and methodsA total of 151 MMD patients, including 46 with lef
Externí odkaz:
https://doaj.org/article/48261439c3ec4c1e80cf0bf233627b29
Publikováno v:
NeuroImage: Clinical, Vol 36, Iss , Pp 103267- (2022)
This study’s aim was to investigate functional brain connectivity changes among patients with moyamoya disease (MMD) with limb paresthesia, using functional connectivity analysis based on resting-state functional magnetic resonance imaging (rs-fMRI
Externí odkaz:
https://doaj.org/article/4da087f9851946da97b457ef0f1d8fc6
Autor:
Bingyu Liang, Rujing Sun, Yanyan Liao, Aidan Nong, Jinfeng He, Fengxiang Qin, Yanyun Ou, Jianhua Che, Zhenxian Wu, Yuan Yang, Jiao Qin, Lijuan Bao, Jie Cai, Li Ye, Hao Liang
BACKGROUND Background: Since more HIV-infected people are living longer, it is crucial to monitor the number of non-AIDS-related events, especially liver diseases. Liver-related deaths in HIV-infected patients occur more often in comparison with the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::821f127ed83e1c25b5c2b82a3cc43c6c
https://doi.org/10.2196/preprints.45818
https://doi.org/10.2196/preprints.45818
Autor:
Qian Zhang, Xin Chen, Hai Yu, Jun Wu, Shuo Zhang, Longqi Liu, Yong Cao, Yue-Shan Piao, Rujing Sun, Shuo Wang, Xianzeng Tong, Jizong Zhao, Xiaowen Song
Publikováno v:
Neuroradiology. 62:307-317
Myxoma-related intracranial diseases were rarely documented in history. The main purpose of our study is to provide a more comprehensive and detailed understanding of the pathogenesis, imaging features, surgical procedures and pathology of such patie
Autor:
Peiyi, Gao, Wei, Shan, Yue, Guo, Yinyan, Wang, Rujing, Sun, Jinxiu, Cai, Hao, Li, Wei Sheng, Chan, Pan, Liu, Lei, Yi, Shaosen, Zhang, Weihua, Li, Tao, Jiang, Kunlun, He, Zhenzhou, Wu
Publikováno v:
JAMA Network Open. 5:e2225608
Deep learning may be able to use patient magnetic resonance imaging (MRI) data to aid in brain tumor classification and diagnosis.To develop and clinically validate a deep learning system for automated identification and classification of 18 types of
Autor:
Jianyong Wei, Nan Luo, Tao Bi, Fang Li, Jitao Fan, Zhenchang Wang, Zhenghan Yang, Xianjun Han, Guang Yang, Rujing Sun, Yuanyuan Kong, Jie Zhou, Ning Guo, Jiaxin Cao, Hui Chen, Shiyu Zhang, Yi He, Hongwei Li
Publikováno v:
SSRN Electronic Journal.
Background: We pioneered a Deep Learning-based Coronary computed tomography–angiography Automatic Reconstruction and Diagnosis System (D-CARDS) for optimizing the workflow of diagnosis in coronary artery disease. Its efficiency and performance in c