Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
BACKGROUND: Cognitive impairment, indicative of Alzheimer disease and other forms of dementia, signi...
OBJECTIVE: To construct an Alzheimer's Disease Knowledge Graph (ADKG) by extracting and integrating ...
BACKGROUND: The aging population presents an accomplishment for society but also poses significant c...
Alzheimer's disease (AD) is the most common neurodegenerative disorder, yet its underlying mechanism...
Neurodegenerative disorders present a significant challenge to healthcare systems, mainly due to the...
The research aims to understand Alzheimer's genetic and immune landscapes using the amalgamation of ...
Alzheimer's Disease (AD) as one of the most prevalent neurodegenerative disorders worldwide, charact...
The most prevalent type of dementia and a progressive neurodegenerative disease, Alzheimer's disease...
Pan et al. demonstrated the superior predictive performance of their machine learning ML models for ...
BackgroundNeuroinflammation actively contributes to the pathophysiology of Alzheimer's disease (AD);...
Early and accurate diagnosis of Alzheimer's disease (AD) is crucial for effective treatment. While t...
Dual-task composed of gait or stepping tasks combined with cognitive tasks has been well-established...
The increases in the older population, the prevalence of dementia, and the resulting social costs ar...
Detecting Alzheimer's disease (AD) in its earliest stages, particularly during an onset of Mild Cogn...
A growing body of literature has examined the impact of neighborhood characteristics on Alzheimer's ...
BACKGROUND: Diabetes mellitus, characterized by chronic glucose dysregulation, significantly increas...
BACKGROUND & OBJECTIVE: Alzheimer's Disease (AD) patients at multiple stages of disease progression ...
BACKGROUND: Over 6 million patients in the United States are affected by Alzheimer's Disease and Rel...
Alzheimer's disease (AD) is a neurodegenerative disorder that requires early diagnosis for effective...
In this paper, we propose a deep super-resolution generative adversarial network (DSR-GAN) combined ...
Magnetic resonance Imaging (MRI)-derived brain-age prediction is a promising biomarker of biological...