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AI May Detect Early Alzheimer’s in Speech Patterns

Everyday Health

voice assistant visualization

Advanced AI analysis may be able to spot subtle features in a person’s speech that could help doctors detect Alzheimer’s disease years before symptoms of mental decline appear. That’s according to recent research published in the Alzheimer’s Association journal Diagnosis, Assessment and Disease Monitoring, which found that natural language processing (NLP), speech recognition, and machine learning could be used to identify difficult-to-measure voice changes that correspond with specific biomarkers linked to Alzheimer’s disease, including levels of the protein amyloid-beta, which scientists have likened to “seeds” that may later grow to become Alzheimer’s.

See full story at Everyday Health

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