Anti-vascular endothelial growth factor (VEGF) agents are widely used as the first line of therapy for diabetic macular edema, but they don’t work for everyone. There’s a need to identify who would benefit from the therapy because it requires multiple injections that are costly and burdensome for both patients and physicians.
“We developed an algorithm that can be used to automatically analyze optical coherence tomography (OCT) images of the retina to predict whether a patient is likely to respond to anti-VEGF treatments,” said research team leader Sina Farsiu from Duke University. “This research represents a step toward precision medicine, in which such predictions help clinicians better select first-line therapies for patients based on specific disease conditions.”
