Machine learning gives nuanced view of Alzheimer's stages
A Cornell-led collaboration used machine learning to pinpoint the most accurate means, and timelines, for anticipating the advancement of Alzheimer’s disease in people who are either cognitively normal or experiencing mild cognitive impairment. The modeling showed that predicting the future decline into dementia for individuals with mild cognitive impairment is easier and more accurate than […]
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