The Lancet Commission on diabetes: using data to transform diabetes care and patient lives

JCN Chan, LL Lim, NJ Wareham, JE Shaw, TJ Orchard… - The Lancet, 2020 - thelancet.com
Executive summary 2020 will go down in history as the year when the global community was
awakened to the fragility of human health and the interdependence of the ecosystem …

Screening for diabetic retinopathy: new perspectives and challenges

S Vujosevic, SJ Aldington, P Silva… - The Lancet Diabetes & …, 2020 - thelancet.com
Although the prevalence of all stages of diabetic retinopathy has been declining since 1980
in populations with improved diabetes control, the crude prevalence of visual impairment …

Microvascular complications of type 2 diabetes mellitus

C Faselis, A Katsimardou, K Imprialos… - Current vascular …, 2020 - ingentaconnect.com
Background: Type 2 diabetes mellitus (T2DM) is a chronic, non communicable, multisystem
disease that has reached epidemic proportions. Chronic exposure to hyperglycaemia affects …

Promising artificial intelligence-machine learning-deep learning algorithms in ophthalmology

L Balyen, T Peto - The Asia-Pacific Journal of Ophthalmology, 2019 - journals.lww.com
The lifestyle of modern society has changed significantly with the emergence of artificial
intelligence (AI), machine learning (ML), and deep learning (DL) technologies in recent …

Improving health outcomes of people with diabetes: target setting for the WHO Global Diabetes Compact

EW Gregg, J Buckley, MK Ali, J Davies, D Flood… - The Lancet, 2023 - thelancet.com
Summary The Global Diabetes Compact is a WHO-driven initiative uniting stakeholders
around goals of reducing diabetes risk and ensuring that people with diabetes have …

Exosomal ncRNAs: Novel therapeutic target and biomarker for diabetic complications

YX Xu, SD Pu, X Li, ZW Yu, YT Zhang, XW Tong… - Pharmacological …, 2022 - Elsevier
Exosomes are discoid vesicles with a diameter of 40–160 nm. They are mainly derived from
the multivesicular body formed by the invagination of lysosomal particles in the cell, which …

Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods

G Selvachandran, SG Quek, R Paramesran… - Artificial intelligence …, 2023 - Springer
The exponential increase in the number of diabetics around the world has led to an equally
large increase in the number of diabetic retinopathy (DR) cases which is one of the major …

Artificial intelligence screening for diabetic retinopathy: the real-world emerging application

V Bellemo, G Lim, TH Rim, GSW Tan… - Current Diabetes …, 2019 - Springer
Abstract Purpose of Review This paper systematically reviews the recent progress in
diabetic retinopathy screening. It provides an integrated overview of the current state of …

The role of inflammation in immune system of diabetic retinopathy: Molecular mechanisms, pathogenetic role and therapeutic implications

T Yue, Y Shi, S Luo, J Weng, Y Wu… - Frontiers in …, 2022 - frontiersin.org
Diabetic retinopathy is one of the most common complications of diabetes mellitus and the
leading cause of low vision and blindness worldwide. Mounting evidence demonstrates that …

Diabetic retinopathy: an overview on mechanisms, pathophysiology and pharmacotherapy

P Ansari, N Tabasumma, NN Snigdha, NH Siam… - Diabetology, 2022 - mdpi.com
Diabetes mellitus is one of the most frequently occurring metabolic disorders (DMs),
impairing healthy life around the globe, with mild-to-severe secondary complications. DM is …