Eyeagnosis app to screen for diabetic retinopathy developed by high school students; MIT publishes new method to study sleep without physical sensors

Eyeagnosis app developed by high school students shows early success to screen for diabetic retinopathy; By fitting a 3D-printed lens onto a smartphone, the phone’s flash can be focused to best illuminate a retina and the disease can be diagnosed by analyzing the image with the help of AI.

Credit: Kavya Kopparapu

80% of accuracy reported by researchers at MIT using radio frequencies and AI algorithms as a new method, to analyze sleep stages without physical sensors; New method allows same data collection without disturbing patient’s behavior; And it facilitates Home-based monitoring for patients and doctors in the near future.

)
The Health Prospect Global

Written by

We create, curate and share stories that bolster the global healthtech industry and the startup community with a focus on Asia.

Welcome to a place where words matter. On Medium, smart voices and original ideas take center stage - with no ads in sight. Watch
Follow all the topics you care about, and we’ll deliver the best stories for you to your homepage and inbox. Explore
Get unlimited access to the best stories on Medium — and support writers while you’re at it. Just $5/month. Upgrade