Background: Diabetic retinopathy is the most common complication of diabetes mellitus and is one of the leading causes of vision impairment globally, which is also relevant for the Russian Federation.
Objective: To evaluate the diagnostic efficiency of a convolutional neural network trained for the detection of diabetic retinopathy and estimation of its severity in fundus images of the Russian population.
Methods: In this cross-sectional multicenter study, the training data set was obtained from an open source and relabeled by a group of independent retina specialists; the sample size was 60,000 eyes.
Objectives: Timolol maleate is used for the treatment of glaucoma and metabolized by cytochrome CYP2D6 in the liver. The aim of this study was the evaluation of the influence of and gene polymorphisms on the safety of medications containing 0.5% of timolol maleate as glaucoma treatment in patients with primary open-angle glaucoma (POAG).
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