Researchers are developing a machine learning model aimed at early detection of Alzheimer's dementia. This model, potentially accessible via smartphones, can distinguish between Alzheimer's patients and healthy individuals with 70-75% accuracy. By focusing on speech patterns rather than content, the tool could offer invaluable early indicators, potentially initiating earlier treatment and slowing disease progression.
Researchers are developing a machine learning model aimed at early detection of Alzheimer's dementia. This model, potentially accessible via smartphones, can distinguish between Alzheimer's patients and healthy individuals with 70-75% accuracy. By focusing on speech patterns rather than content, the tool could offer invaluable early indicators, potentially initiating earlier treatment and slowing disease progression.
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