Physics-informed deep generative learning for quantitative assessment of the retina

Physics-informed deep generative learning for quantitative assessment of the retina

Disruption of retinal vasculature is linked to various diseases, including diabetic retinopathy and macular degeneration, leading to vision loss. We present here a novel algorithmic approach that generates highly realistic digital models of human retinal blood vessels, based on established biophysical principles, including fully-connected arterial and venous trees with a single inlet and outlet. This approach, using physics-informed generative a…

Researchers develop AI system that clarifies images of RPE, making cells visible

The system was taught quality standards by being fed more than 1400 images from different parts of the retina taken by adaptive-optics ophthalmoscopy.

Positive preclinical data on melanocortin agonists for retinopathy

Palatin Technologies reveals groundbreaking preclinical results on melanocortin agonists, showcasing their potential to combat diabetic retinopathy and preserve vision.