Maryland Students Win National Prize with Tool to Detect Alzheimer’s Before Symptoms Arise

Maryland Students Win National Prize with Tool to Detect Alzheimer’s Before Symptoms Arise
University of Maryland students have developed a device to diagnose Alzheimer's before its symptoms are evident. It uses sounds to detect changes in the brainwaves of people with the disease. The achievement earned the seven team members — all sophomores at the A. James Clark School of Engineering — the top prize at the 2017 National Institutes of Health Design by Biomedical Undergraduate Teams (DEBUT) challenge. The team won $20,000 for the portable, low-cost electroencephalogram (EEG) device. "This represents a monumental achievement, not simply for the engineering community, but for the wider world of human health research," Darryll J. Pines, dean of the engineering school, said in a press release. "Through collaborations with faculty and researchers across a range of disciplines, they have transformed ideas into innovation that could one day change how Alzheimer's and other diseases are diagnosed." The students, who call themselves the Synapto team, designed a special headset to create the device, which triggers sounds that can detect brainwave changes. The waves are compared with those of  healthy subjects “to create a machine-learning model that can then accurately predict the probability of the patient having the disease," said Dhruv Patel, a bioengineering student who is Synapto's captain. Team members are considering creating a company to further develop the device. "The end result is a noninvasive and relatively inexpensive tool with the potential to detect Alzheime
Subscribe or to access all post and page content.

Leave a Comment

Your email address will not be published. Required fields are marked *