The New York Times

Key takeaways from Alzheimer’s Prediction May Be Found in Writing Tests

IBM researchers trained artificial intelligence to pick up hints of changes in language ahead of the onset of neurological diseases. Open at source

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they used telegraphic language, meaning language that has a simple grammatical structure and is missing subjects and words like “the,” “is” and “are.” The members of that group turned out to be the people who developed Alzheimer’s disease.

Dr. Adam Boxer, director of the neurosciences clinical research unit at the University of California, San Francisco, is also studying frontotemporal dementia. His tool is a smartphone app. His subjects are healthy people who have inherited a genetic predisposition to develop the disease. His method is to show subjects a picture and ask them to record a description of what they see.

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Key takeaways from Alzheimer’s Prediction May Be Found in Writing Tests

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