Linguistic biomarkers as a diagnostic and prognostic tool for identifying Alzheimer’s Disease
Year: 2024
Type: article
Abstract: Background: Alzheimer's disease (AD), a major public health challenge, is the third leading cause of death among older adults in the United States and exacts significant economic and societal costs. Despite extensive research and development efforts yielding a deeper understanding of its pathophysiology, effective treatments for AD remain elusive. Therapeutic approaches to date have failed to halt or meaningfully slow the disease's progression, highlighting the urgent need for early diagnosis and intervention. Traditional diagnostic methods, such as protein assays, genetic testing, and neuroimaging, are often costly, invasive, and not fully predictive of associated cognitive decline. This necessitates the exploration of more accessible and earlier diagnostic tools.
DOI: 10.25820/etd.007570
Author: Toovey, Cole Robert
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6908544692
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