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Eyes on Eyes
Researcher's in Charge
Ameenat Solebo, Katie Etherton, Nakita Tanwar, Jugnoo Rahi, Harry Petrushkin, Colin Chu
Classifications
445
Thoughts on Project
I have spent a lot of time on this project since I was really sympathetic toward the prevalence that this disease has in children. I thought this project was very easy to understand and is my areas of interest. I thought this project took on a different approach of research since I hadn't come by many projects that were on the clinical side of things but rather on the research. In addition, it was very similar to other projects I've volunteered on where I had to draw around structures but also different. So, this happened to be really refreshing in the midst of volunteering on all the other projects and I will continue to volunteer on it because I truly believe that this project holds the potential to change many children's lives in future generations!
The ultimate goal for this project was to help researchers improve how we monitor children with a blinding eye disorder! Childhood uveitis is a blinding inflammatory eye disease and a specialist's main way of assessing a patient is by looking into their eye and seeing how many inflammatory cells they can identify. Using OCT scans for the back of the eye pictures are taken to see whether the eye is in good enough shape. Right now, a trial and error method is used for choosing treatment for childhood uveitis and better research is required to find a treatment faster. This is important because some kids travel across the world to the UK to a specialist center and that won't need to happen anymore with better research in the united states. In order to automate the analysis using AI, images taken from children are required to see whether the image is good enough quality and then if there are any artifacts in the region of interest for the inflammatory cells. Volunteers are tasked with drawing around the region of interest.
