Quantitative Assessment of Experimental Ocular Inflammatory Disease

Ocular inflammation imposes a high medical burden on patients and substantial costs the health-care systems that mange these often chronic debilitating diseases. Many clinical phenotypes are recognized classifying severity of in an eye with uveitis is ongoing challenge. With widespread application optical coherence tomography clinic has come impetus for more robust methods to compare disease between different treatment centers. Models can recapitulate many features seen clinic, but until recently quality imaging available lagged applied humans. In model experimental autoimmune (EAU), we highlight three linked states produce retinal vulnerability inflammation, all from healthy tissue, distinct each other. Deploying longitudinal, multimodal approaches be coupled analysis tissue changes architecture, cell content function. This enrich our understanding pathology, increase sensitivity which impacts therapeutic interventions assessed address questions regeneration repair. Modern image processing, including artificial intelligence, context such models lay foundation new monitoring health.