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Alzheimer's Disease: Overview

Alzheimer's Disease: Overview

Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...

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Related Experiment Video

Updated: Nov 15, 2025

Assessment of Spontaneous Alternation, Novel Object Recognition and Limb Clasping in Transgenic Mouse Models of Amyloid-β and Tau Neuropathology

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Machine learning methods to predict amyloid positivity using domain scores from cognitive tests.

Guogen Shan¹, Charles Bernick², Jessica Z K Caldwell²

¹Department of Epidemiology and Biostatistics, School of Public Health, University of Nevada Las Vegas, Las Vegas, NV, 89154, USA. guogen.shan@unlv.edu.

Scientific Reports

|March 2, 2021

Summary

Machine learning models accurately predict amyloid-beta status in preclinical Alzheimer's disease (AD) using neurological test scores. This improves participant selection for AD clinical trials by stratifying individuals based on sex and disease stage.

Failed At:

2026-06-19T13:38:55.628727+00:00

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