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You can see the brain through the back of the eye. Edward Kang knew this. The 17-year-old from New Jersey built an AI model called RetinaMind. It scans microscopic patterns in retinal images to find markers linked to autism and ADHD. On his dataset, the software hit 89 percent accuracy. It just won him second place and $175,000 at the 2026 Regeneron Science Talent Search. Medical experts emphasize this is a research-stage screening tool requiring strict clinical validation, not a hospital-ready diagnostic device. But the premise is shifting how we think about early detection. Instead of relying solely on behavioral observation, early screening might eventually just require a photograph of the retina. Shared for informational purposes.

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