Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
BACKGROUND: Alzheimer's disease (AD) and frontotemporal dementia (FTD) are both progressive neurolog...
Alzheimer's disease (AD) is a complex neurodegenerative disorder that currently lacks effective trea...
In this study, we present a comprehensive pipeline to train and compare a broad spectrum of machine ...
The single-luminophore-based ratiometric electrochemiluminescence (ECL) sensor coupling bidirectiona...
INTRODUCTION: Machine learning (ML) helps diagnose the mild cognitive impairment-Alzheimer's disease...
PURPOSE: This study aimed to develop a deep learning (DL) model for brain region parcellation using ...
BACKGROUND: Alzheimer's disease (AD), a hallmark of age-related cognitive decline, is defined by its...
BACKGROUND: This review explores the potential of virtual reality (VR) and artificial intelligence (...
INTRODUCTION: Current models of Alzheimer's disease (AD) progression assume a common pattern and pat...
INTRODUCTION: The automated analysis of connected speech using natural language processing (NLP) eme...
Alzheimer's disease (AD) is a major neurodegenerative dementia, with its complex pathophysiology cha...
Alzheimer's disease (AD) is a complex, progressive, and irreversible neurodegenerative disorder mark...
Dementia affects over 55 million people globally, with early cognitive decline, such as Mild Cogniti...
Mild cognitive impairment (MCI) is a significant predictor of the early progression of Alzheimer's d...
BACKGROUND: The mechanism of palmitoylation in the pathogenesis of Alzheimer's disease (AD) remains ...
Anomalous chromosomes are the cause of genetic diseases such as cancer, Alzheimer's, Parkinson's, ep...
Existing dementia prediction models using non-neuroimaging clinical measures have been limited in th...
BACKGROUND: Intracerebral amyloid β (Aβ) accumulation is considered the initial observable event in ...
Alzheimer's disease (AD) is characterized as a neurodegenerative disorder that is caused by plaque f...
OBJECTIVES: The future emergence of disease-modifying treatments for dementia highlights the urgent ...
Integrating 3D magnetic resonance imaging (MRI) with machine learning has shown promising results in...