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Shujie Yu

Showing results (61-70 of 73) with videos related to

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ACS Nano|August 13, 2023
Geometric Scaling of the Current-Phase Relation of Niobium Nanobridge JunctionsYue Wang, Lei Chen, Yinping Pan, et al.
Scientific Reports|December 1, 2019
Germline de novo variants in CSNK2B in Chinese patients with epilepsyJinliang Li, Kai Gao, Shuying Cai, et al.
Diabetes, Obesity & Metabolism|February 3, 2025
Fibroblast growth factor 23 predicts incident diabetic kidney disease: A 4.6-year prospective studyDan Liu, Shujie Yu, Ying Zhang, et al.
Cell Reports. Medicine|October 3, 2023
Artificial intelligence in diabetes management: Advancements, opportunities, and challengesZhouyu Guan, Huating Li, Ruhan Liu, et al.
Medcomm|October 27, 2025
Infusion of Induced Regulatory T Cells Alleviates Atherosclerosis by Reducing Pathological Macrophage-Like Vascular Smooth Muscle CellsXimei Zhang, Ye Chen, Yesheng Ling, et al.
Diabetes & Metabolism Journal|March 26, 2025
Fibroblast Growth Factor 21 Levels Are Associated With Perception and Neural Responses to Sweetness in Type 2 Diabetes MellitusPiao Kang, Ying Zhang, Dian Zeng, et al.
BMJ Open|October 11, 2023
Effect of virtual reality-based exercise and physical exercise on adolescents with overweight and obesity: study protocol for a randomised controlled trialQian Wu, Rui Han, Zhen Li, et al.
Cell Reports. Medicine|June 26, 2025
A deep learning system for detecting systemic lupus erythematosus from retinal imagesTingyao Li, Shiqun Lin, Zhouyu Guan, et al.
Nature Medicine|January 4, 2024
A deep learning system for predicting time to progression of diabetic retinopathyLing Dai, Bin Sheng, Tingli Chen, et al.
The Lancet. Digital Health|May 1, 2025
Non-invasive biopsy diagnosis of diabetic kidney disease via deep learning applied to retinal images: a population-based studyZiyao Meng, Zhouyu Guan, Shujie Yu, et al.
Pageof 8

Showing results (61-70 of 73) with videos related to

Sort By:
Pageof 8
ACS Nano|August 13, 2023
Geometric Scaling of the Current-Phase Relation of Niobium Nanobridge JunctionsYue Wang, Lei Chen, Yinping Pan, et al.
Scientific Reports|December 1, 2019
Germline de novo variants in CSNK2B in Chinese patients with epilepsyJinliang Li, Kai Gao, Shuying Cai, et al.
Diabetes, Obesity & Metabolism|February 3, 2025
Fibroblast growth factor 23 predicts incident diabetic kidney disease: A 4.6-year prospective studyDan Liu, Shujie Yu, Ying Zhang, et al.
Cell Reports. Medicine|October 3, 2023
Artificial intelligence in diabetes management: Advancements, opportunities, and challengesZhouyu Guan, Huating Li, Ruhan Liu, et al.
Medcomm|October 27, 2025
Infusion of Induced Regulatory T Cells Alleviates Atherosclerosis by Reducing Pathological Macrophage-Like Vascular Smooth Muscle CellsXimei Zhang, Ye Chen, Yesheng Ling, et al.
Diabetes & Metabolism Journal|March 26, 2025
Fibroblast Growth Factor 21 Levels Are Associated With Perception and Neural Responses to Sweetness in Type 2 Diabetes MellitusPiao Kang, Ying Zhang, Dian Zeng, et al.
BMJ Open|October 11, 2023
Effect of virtual reality-based exercise and physical exercise on adolescents with overweight and obesity: study protocol for a randomised controlled trialQian Wu, Rui Han, Zhen Li, et al.
Cell Reports. Medicine|June 26, 2025
A deep learning system for detecting systemic lupus erythematosus from retinal imagesTingyao Li, Shiqun Lin, Zhouyu Guan, et al.
Nature Medicine|January 4, 2024
A deep learning system for predicting time to progression of diabetic retinopathyLing Dai, Bin Sheng, Tingli Chen, et al.
The Lancet. Digital Health|May 1, 2025
Non-invasive biopsy diagnosis of diabetic kidney disease via deep learning applied to retinal images: a population-based studyZiyao Meng, Zhouyu Guan, Shujie Yu, et al.
Pageof 8