Introduction: To compare various machine learning algorithms for constructing a diabetic retinopathy (DR) prediction model among type 2 diabetes mellitus (DM) patients and to develop a nomogram based
Diabetic retinopathy (DR) is a leading cause of vision impairment worldwide, driven by chronic hyperglycaemia and its complex metabolic consequences. While animal models have been widely used to study
Diabetic retinopathy (DR) is a complex disease, the early alterations of which remains to be investigated. We isolated retinas from the control and type 2 diabetes (T2D) mice and conducted scRNA-seq a
