Automated Method to Detect Glaucoma in Its Early Stages, A*STAR Study

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A team of researchers led by Jun Cheng of the A*STAR Institute for Infocomm Research, Singapore, has developed a novel automated technology that screens for glaucoma more accurately and quickly than existing methods. Glaucoma is a chronic, progressive eye disease that damages the optic nerve. It is the second leading cause of blindness worldwide, and will affect an estimated 80 million people by the year 2020. Progression of the disease can be slowed when treated early; however, glaucoma symptoms may go unnoticed until the advanced stages, by which time treatment is too late.

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