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Alzheimer's Disease: Overview

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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.
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Related Experiment Video

Updated: Jul 3, 2026

Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

Machine Learning Algorithm Helps Identify Non-Diagnosed Prodromal Alzheimer's Disease Patients in the General

O Uspenskaya-Cadoz¹, C Alamuri, L Wang

¹Sam Khinda, Senior Project Director, IQVIA Project Leadership, 500 Brook Drive, Green Park, Reading, Berks RG2 6UU, UK. E-mail: sam.khinda@iqvia.com, Office: +44 1332 518 614, Mobile: +44 77 1319 1984.

The Journal of Prevention of Alzheimer'S Disease

|May 8, 2019

Summary

Machine learning accurately identifies individuals with early Alzheimer's disease (AD) in primary care settings. This predictive model aids early diagnosis and facilitates clinical trial enrollment for new AD treatments.

Failed At:

2026-06-19T13:38:15.342763+00:00

Keywords:

AD clinical trial recruitment Alzheimer’s disease machine learning algorithm prodromal AD

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