Latest AI and machine learning research in dementia for healthcare professionals.
Vascular dementia (VaD), the second most common form of dementia, lacks reliable biomarkers for earl...
Dementia typically results from damage to neural pathways and the consequent degeneration of neurona...
Alzheimer's disease (AD) constitutes a neurodegenerative disorder predominantly observed in the geri...
A healthy diet has been associated with a reduced risk of dementia. Here we devised a Machine learni...
BACKGROUND: The rising prevalence of dementia is a major concern, with approximately 45% of cases li...
Alzheimer's Disease (AD) is a prevalent neurodegenerative condition where early detection is vital. ...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that significantly impacts cogn...
Traditional diagnostic methods for Alzheimer's disease often suffer from low accuracy and lengthy pr...
We propose a compositional graph-based Machine Learning (ML) framework for Alzheimer's disease (AD) ...
BackgroundArtificial Intelligence (AI) is increasingly integrated into healthcare systems, presentin...
Alzheimer's Disease (AD) poses a significant global health challenge, necessitating early and accura...
Extracellular vesicles (EVs) in plasma are composed of exosomes, microvesicles, and apoptotic bodies...
Tumor suppressor genes (TSGs) are critical regulators of cellular homeostasis and are extensively st...
This study developed machine learning models to predict Aβ positivity in Alzheimer's disease by inte...
Vascular cognitive impairment (VCI) is an umbrella term for diseases associated with cognitive decli...
BackgroundThe retrogenesis hypothesis (RH) suggests that the functional and cognitive decline observ...
BackgroundMild cognitive impairment (MCI) is a risk factor for dementia, and early screening is cruc...
BACKGROUND: The connection between cognition, eye, and brain remains inconclusive in Alzheimer's dis...
Dysregulation of lipid metabolism is increasingly recognized as a key factor in the pathogenesis of ...
OBJECTIVE: Electroencephalography (EEG) is a method that offers detailed observations of electrical ...
BackgroundDistinct risk factors influence Alzheimer's disease (AD) stage stratification, yet effecti...