Biomedical engineers at Duke University have used induced pluripotent stem cells (iPSCs) to grow specialized blood vessel cells critical to retinal health for the first time. When injected into mouse ...
A new study presents an artificial intelligence system that scans images of the retina to detect signs of diabetes, high ...
Abstract: Diabetic retinopathy (DR) is a leading cause of blindness worldwide, and early automated detection is critical for patient outcomes. In this work, a DenseNet-201 convolutional neural network ...
Ocular Disease Classification and Diabetic Retinopathy Detection using Convolutional Neural Networks
Abstract: A severe complication of diabetes that leads to permanently vision loss and early blindness give rise to the evolution of an ocular disease called as diabetic retinopathy. The major root ...
Please provide your email address to receive an email when new articles are posted on . CGM improved HbA1c, time in range and other metrics over 26 weeks. CONNECT trial suggests CGM can be considered ...
Next-generation cfDNA assay built on the Kihealth InterceptIQ™ platform expands the potential for earlier detection, dynamic disease monitoring, and precision therapeutic development in diabetes and ...
Overall, 18,556 women developed diabetes during follow-up — 20.1% with prior gestational diabetes vs 2.0% without. Of these, 655 (3.5%) developed diabetic retinopathy, and 38.1% developed hypertension ...
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