Cheng Ching-Yu

Xue Can Can, Li Hengtong, Chee Miao Li, Soh Zhi Da, Yu Marco, Lavanya Raghavan et al.

This study found metformin use is linked to a 19% lower glaucoma risk in diabetics, supported by meta-analysis and genetic evidence, suggesting its potential as a preventive therapy.

Wong Maverick Wenhao, Chong Crystal, Sharma Swati, Phang Lee Ching, Lor Samantha, Hoang Quan V et al.

This study found that in highly myopic eyes, high IOP and long axial length cause distinct optic nerve head changes, with IOP, not axial length, linked to glaucoma-like features.

Umapathi Ruthra, Yu Marco, Cheng Ching-Yu, Najjar Raymond P, Husain Rahat, Ho Ching Lin et al.

This study identified three distinct angle closure subtypes using ASOCT. A spacious anterior chamber subtype was linked to stable PACS, while smaller dimensions were associated with glaucoma progression.

Soh Zhi-Da, Yu Marco, Chen Yanyan, Thakur Sahil, Lavanya Raghavan, Tham Yih Chung et al.

This study tracked GCIPL and RNFL thinning over 6 years, finding physiological age-related loss. Differentiating this from glaucoma progression is crucial for accurate diagnosis and monitoring.

Chong Rachel S, Li Hengtong, Cheong Alex J Y, Fan Qiao, Koh Victor, Raghavan Lavanya et al.

This study found a strong, bidirectional genetic link between myopia and glaucoma, mainly mediated by intraocular pressure. IOP-lowering treatment may benefit myopic eyes with glaucoma.

Sreejith Kumar Ashish Jith, Chong Rachel S, Crowston Jonathan G, Chua Jacqueline, Bujor Inna, Husain Rahat et al.

Researchers found AI-generated synthetic OCT images effectively train deep learning models for glaucoma detection, performing comparably to real images, offering a solution for data scarcity and sharing.

Mehta Anjali, Man Ryan E K, Gan Alfred T, Najjar Raymond P, Nongpiur Monisha, Lamoureux Ecosse L et al.

This study found intermediate/high obstructive sleep apnea risk is associated with 50% higher glaucoma odds in Singaporean adults, particularly in Malays. This suggests OSA screening may be relevant for glaucoma risk assessment.

Panda Satish K, Cheong Haris, Tun Tin A, Chuangsuwanich Thanadet, Kadziauskiene Aiste, Senthil Vijayalakshmi et al.

This study found that the 3D configuration of central retinal vessels, analyzed by AI, is a superior glaucoma diagnostic marker compared to standard RNFL thickness, potentially improving early detection.

Tseng Rachel Marjorie Wei Wen, Tham Yih-Chung, Rim Tyler Hyungtaek, Cheng Ching-Yu

This review found non-AI digital health tools (VR/AR, apps, wearables) show encouraging patient outcomes for glaucoma and other eye conditions, warranting further validation for real-world use.

Panda Satish K, Cheong Haris, Tun Tin A, Devella Sripad K, Senthil Vijayalakshmi, Krishnadas Ramaswami et al.

AI deep learning accurately identified novel structural optic nerve head biomarkers from OCTs, revealing how ONH morphology changes in glaucoma and offering a robust diagnostic tool.

Soh Zhi Da, Deshmukh Mihir, Rim Tyler Hyungtaek, Cheng Ching-Yu

Lanca Carla, Sun Chen Hsin, Chong Rachel, Wong Yee Ling, Nongpiur Monisha Esther, Htoon Hla M et al.

This study found highly myopic adults with myopic macular degeneration (MMD) have visual field loss, even without glaucoma, highlighting MMD's impact on vision beyond acuity.

Soh Zhi, Yu Marco, Betzler Bjorn Kaijun, Majithia Shivani, Thakur Sahil, Tham Yih Chung et al.

This study found over half of global glaucoma cases are undetected, especially in Africa and Asia, highlighting an urgent need for improved screening to prevent irreversible blindness.

Ran An Ran, Tham Clement C, Chan Poemen P, Cheng Ching-Yu, Tham Yih-Chung, Rim Tyler Hyungtaek et al.

Wang Xiaofei, Tun Tin A, Nongpiur Monisha Esther, Htoon Hla M, Tham Yih Chung, Strouthidis Nicholas G et al.

This study found the peripapillary sclera's v-shaped configuration is more pronounced in glaucoma eyes, suggesting this posterior bowing impacts optic nerve head biomechanics, potentially aiding early detection or understanding disease progression.

Ran An Ran, Tham Clement C, Chan Poemen P, Cheng Ching-Yu, Tham Yih-Chung, Rim Tyler Hyungtaek et al.

This review found deep learning with OCT accurately distinguishes glaucoma from normal eyes, showing promise for improving clinical assessment and workflow, despite needing further validation.

Pham Tan Hung, Devalla Sripad Krishna, Ang Aloysius, Soh Zhi-Da, Thiery Alexandre H, Boote Craig et al.

Deep learning accurately identified anterior segment structures and quantified key measurements from OCT images, matching expert performance for glaucoma diagnosis and management, offering rapid, reliable automation.

Soh Zhi Da, Chee Miao Li, Thakur Sahil, Tham Yih Chung, Tao Yijin, Lim Zhi Wei et al.

This study identified optimal vertical cup-to-disc ratio (VCDR) cut-offs (≥0.60, or ≥0.65 for larger discs, with ≥0.20 asymmetry) for glaucoma screening in multi-ethnic Asians, improving diagnostic balance.

Lim Zhi Wei, Chee Miao-Li, Thakur Sahil, Fang Xiaoling, Soh Zhi Da, Majithia Shivani et al.

This study found higher albuminuria, particularly macroalbuminuria, is independently associated with primary open-angle glaucoma, potentially aiding in understanding POAG pathogenesis and identifying at-risk individuals.

Liu Chang, Nongpiur Monisha E, Cheng Ching-Yu, Khor Chiea-Chuen, Yu Marco, Husain Rahat et al.

Researchers found that a specific gene (EPDR1) and a higher genetic risk score are linked to more severe primary angle-closure glaucoma, potentially identifying individuals at risk for aggressive disease.

Tun Tin A, Wang Xiaofei, Baskaran Mani, Nongpiur Monisha Esther, Tham Yih Chung, Nguyen Duc Quang et al.

This study found lamina cribrosa depth varies by age, gender, race, and ocular factors in healthy Asians. This normative data aids more accurate glaucoma assessment via OCT.

Soh Zhi Da, Thakur Sahil, Majithia Shivani, Nongpiur Monisha Esther, Cheng Ching-Yu

This review highlights that irises in angle-closure eyes have structural differences causing less volume change on dilation, increasing iris-trabecular apposition, crucial for PACG development.

Goh Jocelyn Hui Lin, Lim Zhi Wei, Fang Xiaoling, Anees Ayesha, Nusinovici Simon, Rim Tyler Hyungtaek et al.

AI for cataract detection and IOL power calculation shows promise, but needs more robust data and validation for clinical deployment and cost-effectiveness.

Tao Yijin, Tham Yih Chung, Chee Miao Li, Majithia Shivani, Thakur Sahil, Soh Zhi-Da et al.

This study found healthy Asian populations have ethnic differences in RNFL symmetry, with Malays and Indians having lower symmetry than Chinese, suggesting universal glaucoma detection cut-offs are flawed and ethnic-specific norms are needed.

Cheng Ching-Yu, Wang Ningli, Wong Tien Y, Congdon Nathan, He Mingguang, Wang Ya Xing et al.

East Asian vision loss is dominated by cataract and uncorrected refractive error. Addressing these through public health efforts could eliminate 57% of blindness, emphasizing screening and access to care.