Charumathi Sabanayagam

Research interests

Publications

• A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study

  The Lancet Digital Health · 2022 · 10.1016/s2589-7500(22)00169-8

• Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045

  Ophthalmology · 2021 · https://doi.org/10.1016/j.ophtha.2021.04.027

• A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations

  The Lancet Digital Health · 2020 · 10.1016/s2589-7500(20)30063-7

• Logistic regression was as good as machine learning for predicting major chronic diseases

  Journal of Clinical Epidemiology · 2020 · https://doi.org/10.1016/j.jclinepi.2020.03.002

• Identification of type 2 diabetes loci in 433,540 East Asian individuals

  Nature · 2020 · 10.1038/s41586-020-2263-3

• A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre

  Nature Biomedical Engineering · 2020 · 10.1038/s41551-020-00626-4

• Chronic Kidney Disease and Coronary Artery Disease

  Journal of the American College of Cardiology · 2019 · https://doi.org/10.1016/j.jacc.2019.08.1017

• Large-Scale Whole-Genome Sequencing of Three Diverse Asian Populations in Singapore

  Cell · 2019 · 10.1016/j.cell.2019.09.019

• Multi-ancestry genome-wide gene–smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids

  Nature Genetics · 2019 · 10.1038/s41588-019-0378-y

• Development of Risk Prediction Equations for Incident Chronic Kidney Disease

  JAMA · 2019 · 10.1001/jama.2019.17379

• Strategies to Tackle the Global Burden of Diabetic Retinopathy: From Epidemiology to Artificial Intelligence

  Ophthalmologica · 2019 · 10.1159/000502387

• Chronic kidney disease and valvular heart disease: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference

  Kidney International · 2019 · 10.1016/j.kint.2019.06.025

• Incidence and progression of diabetic retinopathy: a systematic review

  The Lancet Diabetes & Endocrinology · 2018 · 10.1016/s2213-8587(18)30128-1

• Prevalence, Risk Factors, and Impact of Myopic Macular Degeneration on Visual Impairment and Functioning Among Adults in Singapore

  Investigative Ophthalmology & Visual Science · 2018 · 10.1167/iovs.18-24032

• Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

  PLoS ONE · 2018 · https://doi.org/10.1371/journal.pone.0198166

• Association analyses of East Asian individuals and trans-ancestry analyses with European individuals reveal new loci associated with cholesterol and triglyceride levels

  Human Molecular Genetics · 2017 · 10.1093/hmg/ddx062

• Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes

  JAMA · 2017 · https://doi.org/10.1001/jama.2017.18152

• Age of onset of myopia predicts risk of high myopia in later childhood in myopic Singapore children

  Ophthalmic and Physiological Optics · 2016 · 10.1111/opo.12305

• Ten Emerging Trends in the Epidemiology of Diabetic Retinopathy

  Ophthalmic Epidemiology · 2016 · 10.1080/09286586.2016.1193618

• Epidemiology of diabetic retinopathy, diabetic macular edema and related vision loss

  Eye and Vision · 2015 · https://doi.org/10.1186/s40662-015-0026-2

• Kidney and eye diseases: common risk factors, etiological mechanisms, and pathways

  Kidney International · 2013 · 10.1038/ki.2013.491

• Bisphenol A and Peripheral Arterial Disease: Results from the NHANES

  Environmental Health Perspectives · 2012 · 10.1289/ehp.1104114

• Retinal Microvasculature as a Model to Study the Manifestations of Hypertension

  Hypertension · 2012 · 10.1161/hypertensionaha.111.189142

• Sleep Duration and Cardiovascular Disease: Results from the National Health Interview Survey

  SLEEP · 2010 · 10.1093/sleep/33.8.1037

• Relationship between glycated haemoglobin and microvascular complications: Is there a natural cut-off point for the diagnosis of diabetes?

  Diabetologia · 2009 · 10.1007/s00125-009-1360-5

Current projects

No projects listed.