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Ruiye Chen

Showing results (21-30 of 33) with videos related to

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Communications Medicine|January 12, 2026
The association between childhood body size, adulthood lifestyle, and risk of 50 health conditionsXiaomin Zeng, Ruiye Chen, Daiyue Yu, et al.
American Journal of Kidney Diseases : the Official Journal of the National Kidney Foundation|December 8, 2022
Association of Retinal Age Gap and Risk of Kidney Failure: A UK Biobank StudyShiran Zhang, Ruiye Chen, Yan Wang, et al.
Therapeutic Advances in Drug Safety|September 25, 2025
Real-world large sample evaluation of drug-related blepharoptosis: a pharmacovigilance analysis of the FDA Adverse Event Reporting System databaseKunhong Xiao, Xiaodong Chen, Shinan Wu, et al.
Translational Vision Science & Technology|July 13, 2023
A Systematic Review and Meta-Analysis of Applying Deep Learning in the Prediction of the Risk of Cardiovascular Diseases From Retinal ImagesWenyi Hu, Fabian S L Yii, Ruiye Chen, et al.
NPJ Digital Medicine|February 24, 2025
Real-world feasibility, accuracy and acceptability of automated retinal photography and AI-based cardiovascular disease risk assessment in Australian primary care settings: a pragmatic trialWenyi Hu, Zhihong Lin, Malcolm Clark, et al.
Nutrients|January 11, 2024
Diet-Wide Association Study for the Incidence of Type 2 Diabetes Mellitus in Community-Dwelling Adults Using the UK Biobank DataJiahao Liu, Xianwen Shang, Yutong Chen, et al.
Journal of Diabetes|March 15, 2023
The Association of Retinal age gap with metabolic syndrome and inflammationZhuoting Zhu, Dan Liu, Ruiye Chen, et al.
Diabetes, Obesity & Metabolism|April 2, 2025
Metabolomic network reveals novel biomarkers for type 2 diabetes mellitus in the UK Biobank studyJiahao Liu, Xianwen Shang, Xueli Zhang, et al.
Geroscience|November 26, 2024
Evaluating the reproducibility of a deep learning algorithm for the prediction of retinal ageJay Rodney Toby Zoellin, Ferhat Turgut, Ruiye Chen, et al.
Survey of Ophthalmology|July 18, 2024
Advances in artificial intelligence for meibomian gland evaluation: A comprehensive reviewLi Li, Kunhong Xiao, Xianwen Shang, et al.
Pageof 4

Showing results (21-30 of 33) with videos related to

Sort By:
Pageof 4
Communications Medicine|January 12, 2026
The association between childhood body size, adulthood lifestyle, and risk of 50 health conditionsXiaomin Zeng, Ruiye Chen, Daiyue Yu, et al.
American Journal of Kidney Diseases : the Official Journal of the National Kidney Foundation|December 8, 2022
Association of Retinal Age Gap and Risk of Kidney Failure: A UK Biobank StudyShiran Zhang, Ruiye Chen, Yan Wang, et al.
Therapeutic Advances in Drug Safety|September 25, 2025
Real-world large sample evaluation of drug-related blepharoptosis: a pharmacovigilance analysis of the FDA Adverse Event Reporting System databaseKunhong Xiao, Xiaodong Chen, Shinan Wu, et al.
Translational Vision Science & Technology|July 13, 2023
A Systematic Review and Meta-Analysis of Applying Deep Learning in the Prediction of the Risk of Cardiovascular Diseases From Retinal ImagesWenyi Hu, Fabian S L Yii, Ruiye Chen, et al.
NPJ Digital Medicine|February 24, 2025
Real-world feasibility, accuracy and acceptability of automated retinal photography and AI-based cardiovascular disease risk assessment in Australian primary care settings: a pragmatic trialWenyi Hu, Zhihong Lin, Malcolm Clark, et al.
Nutrients|January 11, 2024
Diet-Wide Association Study for the Incidence of Type 2 Diabetes Mellitus in Community-Dwelling Adults Using the UK Biobank DataJiahao Liu, Xianwen Shang, Yutong Chen, et al.
Journal of Diabetes|March 15, 2023
The Association of Retinal age gap with metabolic syndrome and inflammationZhuoting Zhu, Dan Liu, Ruiye Chen, et al.
Diabetes, Obesity & Metabolism|April 2, 2025
Metabolomic network reveals novel biomarkers for type 2 diabetes mellitus in the UK Biobank studyJiahao Liu, Xianwen Shang, Xueli Zhang, et al.
Geroscience|November 26, 2024
Evaluating the reproducibility of a deep learning algorithm for the prediction of retinal ageJay Rodney Toby Zoellin, Ferhat Turgut, Ruiye Chen, et al.
Survey of Ophthalmology|July 18, 2024
Advances in artificial intelligence for meibomian gland evaluation: A comprehensive reviewLi Li, Kunhong Xiao, Xianwen Shang, et al.
Pageof 4