A reliable, valid, and non-invasive app to assess dry eye disease

Early diagnosis and timely treatment are extremely important to manage dry eye disease (DED), a common condition exacerbated by the increased use of digital devices. But the current method of diagnosis is invasive, and its results are inconsistent with the subjective symptoms of dry eye disease. To solve this issue, a research team—led by researchers from Juntendo University Graduate School of Medicine—has developed DryEyeRhythm, as a non-invasive and reliable mobile app to assess DED.