6 Papers
22 Citations
Li Ren is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Transplantation & Kidney transplantation. The author has an hindex of 3, co-authored 6 publications.
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Papers
Prediction of Chronic Kidney Disease Using Adaptive Hybridized Deep Convolutional Neural Network on the Internet of Medical Things Platform
Guozhen Chen,Chenguang Ding,Yang Li,Xiaojun Hu,Xiao Li,Li Ren,Xiaoming Ding,Puxun Tian,Wujun Xue +8 more
TL;DR: The experimental process on the Internet of medical things platform (IoMT) concludes that advances in machine learning provides a promising framework for the recognition of intelligent solutions to prove their predictive capability beyond the field of kidney disease.
•Journal Article
Current attitudes toward organ donation after cardiac death in northwest China.
TL;DR: This study revealed initial attitudes toward DCD in China and some data afford insight into the decision‐making procedure may help professionals provide better interventions in the future.
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Assessment of different biomarkers provides valuable diagnostic standards in the evaluation of the risk of acute rejection
Jin Zheng,Xiaoming Ding,Xiaohui Tian,Zhan-kui Jin,Xiaoming Pan,Hang Yan,Xinshun Feng,Jun Hou,Heli Xiang,Li Ren,Puxun Tian,Wujun Xue +11 more
TL;DR: iATP may be a better biomarker than others for predicting the graft rejection episode and upregulation of sCD30, iATP, granzyme B, perforin, and downregulation of HLA-G5 could provide valuable diagnostic standards to identify those recipients in the risk of AR.
•Journal Article
Donations after cardiac death kidney transplantation in northwest China
Xiaoming Pan,Wu-jun Xue,Linjuan Liu,Heli Xiang,Chenguang Ding,Shuqin He,Li Ren,Puxun Tian,Xiaoming Ding +8 more
TL;DR: The overall effect ofDCD kidney transplant is good despite a high incidence of early DGF, and the use of low-temperature mechanical perfusion for storage and transportation of DCD donor kidney is recommended.
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Clinical research and social status investigation for donor and recipient of living-related kidney transplant.
Wujun Xue,Puxun Tian,Xiaoming Ding,Xiaoming Pan,Hang Yan,Jun Hou,Xinshun Feng,Heli Xiang,Xiaohui Tian,Li Ren,Jin Zheng,Shengbin Li +11 more
TL;DR: Adequate pretransplant assessment, better tissue matching, and reduced ischemia time may result in lower incidence of DGF, AR and higher patient/graft survival rates for living-related kidney transplant (LRKT).
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