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Ruiyang Li

Showing results (121-130 of 130) with videos related to

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Nature Communications|November 6, 2023
LensAge index as a deep learning-based biological age for self-monitoring the risks of age-related diseases and mortalityRuiyang Li, Wenben Chen, Mingyuan Li, et al.
American Journal of Human Genetics|March 15, 2022
Familial long-read sequencing increases yield of de novo mutationsMichelle D Noyes, William T Harvey, David Porubsky, et al.
JAMA Ophthalmology|June 4, 2026
Smartphone-Based Proactive Self-Screening for Ocular Surface Malignancies: A Nonrandomized Clinical TrialRuixin Wang, Shaowei Bi, Duoru Lin, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|November 11, 2025
Development of Teleoperated Robotic System for Remote Intraocular MicrosurgeryAndi Xu, Zhangkai Lian, Wenben Chen, et al.
Life Medicine|August 13, 2025
A framework of biomarkers for visual system aging: a consensus statement by the Aging Biomarker Consortium, Chao Ma, Boxin Geng, et al.
Eclinicalmedicine|May 31, 2019
Diagnostic Efficacy and Therapeutic Decision-making Capacity of an Artificial Intelligence Platform for Childhood Cataracts in Eye Clinics: A Multicentre Randomized Controlled TrialHaotian Lin, Ruiyang Li, Zhenzhen Liu, et al.
Nature|May 6, 2021
A high-quality bonobo genome refines the analysis of hominid evolutionYafei Mao, Claudia R Catacchio, LaDeana W Hillier, et al.
Nature Communications|September 22, 2025
Author Correction: A noninvasive model for chronic kidney disease screening and common pathological type identification from retinal imagesQianni Wu, Jianbo Li, Lanqin Zhao, et al.
Nature Communications|July 29, 2025
A noninvasive model for chronic kidney disease screening and common pathological type identification from retinal imagesQianni Wu, Jianbo Li, Lanqin Zhao, et al.
Nature Medicine|January 26, 2023
Early detection of visual impairment in young children using a smartphone-based deep learning systemWenben Chen, Ruiyang Li, Qinji Yu, et al.
Pageof 13

Showing results (121-130 of 130) with videos related to

Sort By:
Pageof 13
You have reached the last page of results.This site can display upto 130 results.
Nature Communications|November 6, 2023
LensAge index as a deep learning-based biological age for self-monitoring the risks of age-related diseases and mortalityRuiyang Li, Wenben Chen, Mingyuan Li, et al.
American Journal of Human Genetics|March 15, 2022
Familial long-read sequencing increases yield of de novo mutationsMichelle D Noyes, William T Harvey, David Porubsky, et al.
JAMA Ophthalmology|June 4, 2026
Smartphone-Based Proactive Self-Screening for Ocular Surface Malignancies: A Nonrandomized Clinical TrialRuixin Wang, Shaowei Bi, Duoru Lin, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|November 11, 2025
Development of Teleoperated Robotic System for Remote Intraocular MicrosurgeryAndi Xu, Zhangkai Lian, Wenben Chen, et al.
Life Medicine|August 13, 2025
A framework of biomarkers for visual system aging: a consensus statement by the Aging Biomarker Consortium, Chao Ma, Boxin Geng, et al.
Eclinicalmedicine|May 31, 2019
Diagnostic Efficacy and Therapeutic Decision-making Capacity of an Artificial Intelligence Platform for Childhood Cataracts in Eye Clinics: A Multicentre Randomized Controlled TrialHaotian Lin, Ruiyang Li, Zhenzhen Liu, et al.
Nature|May 6, 2021
A high-quality bonobo genome refines the analysis of hominid evolutionYafei Mao, Claudia R Catacchio, LaDeana W Hillier, et al.
Nature Communications|September 22, 2025
Author Correction: A noninvasive model for chronic kidney disease screening and common pathological type identification from retinal imagesQianni Wu, Jianbo Li, Lanqin Zhao, et al.
Nature Communications|July 29, 2025
A noninvasive model for chronic kidney disease screening and common pathological type identification from retinal imagesQianni Wu, Jianbo Li, Lanqin Zhao, et al.
Nature Medicine|January 26, 2023
Early detection of visual impairment in young children using a smartphone-based deep learning systemWenben Chen, Ruiyang Li, Qinji Yu, et al.
Pageof 13