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The chronic neurological condition called Alzheimer’s disease is one of the more insidious in modern society. In 2015, some 30 million were thought to have this disease. As a hugely expensive condition to manage, this places significant burdens on health-care systems all over the world.

Although there is no known way to halt the disease in advanced cases, there is evidence that its progression can be slowed or halted if it is identified early. So finding a reliable way to spot people who are at risk of developing the disease is an important goal.

Today, Hongyoon Choi at the Cheonan Public Health Center and Kyong Hwan Jin at the Korea Advanced Institute of Science and Technology, both in South Korea, say they have used deep learning to develop just such a technique. These guys say their process can accurately identify people likely to develop Alzheimer’s in the next three years.

… Read More

Image: By Jens Maus (http://jens-maus.de/) – Own work, Public Domain, https://commons.wikimedia.org/w/index.php?curid=404690

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MIT Technology Review

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