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If geriatricians and primary care physicians could know which older patients were at risk for Alzheimer's disease, they could help these patients and their families prepare for what lies ahead.
At the same time, the same capacity could help researchers choose the right patients for clinical trials of new treatments and prevention methods.
Clinicians and researchers will turn these cans into cans if a new machine learning model developed at MIT translates from lab to clinic.
MIT News reported on August 1 that the model could predict a decrease in cognitive ability up to two years before symptoms of degradation became pronounced.
The model's developers are ready to present their work at the Machine Learning for Healthcare conference in 2019, to be held at the University of Michigan August 8-10.
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