Cheng, Ching-Yu

Kidney and eye diseases: Common risk factors, etiological mechanisms, and pathways

Wong, C. W., Wong, T. Y., Cheng, C.-Y., & Sabanayagam, C. (2014) · Kidney International

Chronic Kidney Disease and DiabetesRetinal Diseases and Treatments

Cited by 276

Integrated image-based deep learning and language models for primary diabetes care

Li, J., Guan, Z., Wang, J., Cheung, C. Y., Zheng, Y., Lim, L.-L., Lim, C. C., Ruamviboonsuk, P., Raman, R., Corsino, L., et al. (2024) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 250

Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs

Rim, T. H., Lee, C. J., Tham, Y.-C., Cheung, N., Yu, M., Lee, G., Kim, Y., Ting, D. S. W., Chong, C. C. Y., Choi, Y. S., et al. (2021) · The Lancet Digital Health

Cardiac Imaging and DiagnosticsRetinal Imaging and Analysis

Cited by 234

Large language models and their impact in ophthalmology

Betzler, B. K., Chen, H., Cheng, C.-Y., Lee, C. S., Ning, G., Song, S. J., Lee, A. Y., Kawasaki, R., van Wijngaarden, P., Grzybowski, A., et al. (2023) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationOphthalmology and Visual Health Research

Cited by 161

Telehealth demand trends during the COVID-19 pandemic in the top 50 most affected countries: infodemiological evaluation

Wong, M. Y. Z., Gunasekeran, D. V., Nusinovici, S., Sabanayagam, C., Yeo, K. K., Cheng, C.-Y., & Tham, Y.-C. (2021) · JMIR Public Health and Surveillance

Telemedicine and Telehealth ImplementationData-Driven Disease Surveillance

Cited by 115

Inflammation, Complement Factor H, and Age-Related Macular Degeneration

Klein, R., Knudtson, M. D., Klein, B. E. K., Wong, T. Y., Cotch, M. F., Liu, K., Cheng, C. Y., Burke, G. L., Saad, M. F., Jacobs, D. R., et al. (2008) · Ophthalmology

Retinal Diseases and TreatmentsOcular Diseases and Behçet’s Syndrome

Cited by 106

Meta-analysis of genome-wide association studies of adult height in East Asians identifies 17 novel loci

He, M., Xu, M., Zhang, B., Liang, J., Chen, P., Lee, J.-Y., Johnson, T. A., Li, H., Yang, X., Dai, J., et al. (2015) · Human Molecular Genetics

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 106

Association of common genetic variants with brain microbleeds: a genome-wide association study

Knol, M. J., Lu, D., Traylor, M., Adams, H. H. H., Romero, J. R. J., Smith, A. V., Fornage, M., Hofer, E., Liu, J., Hostettler, I. C., et al. (2020) · Neurology

Intracerebral and Subarachnoid Hemorrhage ResearchCerebrovascular and genetic disorders

Cited by 94

Effects of prenatal maternal mental distress on birth outcomes

Liou, S.-R., Wang, P., & Cheng, C.-Y. (2016) · Women and Birth

Maternal Mental Health During Pregnancy and PostpartumMaternal and Neonatal Healthcare

Cited by 73

Diminishing benefits of urban living for children and adolescents' growth and development

NCD Risk Factor Collaboration (NCD-RisC), Mishra, A., Zhou, B., Rodriguez-Martinez, A., Bixby, H., Singleton, R. K., Carrillo-Larco, R. M., Sheffer, K. E., Paciorek, C. J., Bennett, J. E., et al. (2023) · Nature

Obesity, Physical Activity, DietHuman Health and Disease

Cited by 70

Do we have enough ophthalmologists to manage vision-threatening diabetic retinopathy? A global perspective

Teo, Z. L., Tham, Y.-C., Yu, M., Cheng, C.-Y., Wong, T. Y., & Sabanayagam, C. (2020) · Eye

Global Health Workforce IssuesRetinal Diseases and Treatments

Cited by 62

Prediction of diabetic kidney disease risk using machine learning models: A population-based cohort study of Asian adults

Sabanayagam, C., He, F., Nusinovici, S., Li, J., Lim, C., Tan, G., & Cheng, C. Y. (2023) · eLife

Chronic Kidney Disease and DiabetesArtificial Intelligence in Healthcare

Cited by 51

A multi-ancestry genome-wide study incorporating gene–smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure

Sung, Y. J., de las Fuentes, L., Winkler, T. W., Chasman, D. I., Bentley, A. R., Kraja, A. T., Ntalla, I., Warren, H. R., Guo, X., Schwander, K., et al. (2019) · Human Molecular Genetics

Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies

Cited by 43

Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes

Betzler, B. K., Chee, E. Y. L., He, F., Lim, C. C., Ho, J., Hamzah, H., Tan, N. C., Liew, G., McKay, G. J., Hogg, R. E., et al. (2023) · Journal of the American Medical Informatics Association

Retinal Imaging and AnalysisChronic Kidney Disease and Diabetes

Cited by 42

Development and External Validation of Machine Learning Models for Diabetic Microvascular Complications: Cross-Sectional Study With Metabolites

He, F., Ng Yin Ling, C., Nusinovici, S., Cheng, C.-Y., Wong, T. Y., Li, J., & Sabanayagam, C. (2024) · Journal of Medical Internet Research

Chronic Kidney Disease and DiabetesArtificial Intelligence in Healthcare

Cited by 29

Beyond vision loss: the independent impact of diabetic retinopathy on vision-related quality of life in a Chinese Singaporean population

Fenwick, E. K., Man, R. E. K., Gan, A. T. L., Kumari, N., Wong, C., Aravindhan, A., Gupta, P., Wang, J. J., Mitchell, P., Wong, T. Y., et al. (2019) · British Journal of Ophthalmology

Retinal Diseases and TreatmentsOphthalmology and Visual Impairment Studies

Cited by 16

Cardiovascular disease risk prediction in multi-ethnic Asian populations: evidence from two population-based cohorts in Singapore

Lim, C. G. Y., Chong, C. C. Y., Wong, Y. H. M., Yao, J., Ma, S., Chambers, J. C., Yeo, K. K., Tai, E. S., Tromp, J., van Dam, R. M., et al. (2026) · The Lancet Regional Health - Western Pacific

Health Promotion and Cardiovascular PreventionCardiovascular Health and Risk Factors

Cited by 3

Correction: African Ancestry and Its Correlation to Type 2 Diabetes in African Americans: A Genetic Admixture Analysis in Three U.S. Population Cohorts

Cheng, C.-Y., Reich, D., Haiman, C. A., Tandon, A., Patterson, N., Elizabeth, S., Akylbekova, E. L., Brancati, F. L., Coresh, J., Boerwinkle, E., et al. (2012) · PLoS ONE

Genetic Associations and EpidemiologyRace, Genetics, and Society

Cited by 2