Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
There is currently no treatment for effectively slowing the progression of Alzheimer's disease, so e...
BACKGROUND: Serum amyloid P-component (SAP) contributes to the clearance of apoptotic cells. As one ...
Extensive studies have been performed on acute mountain sickness (AMS), but biomarkers predicting AM...
BACKGROUND: Alzheimer's disease (AD) has high a prevalence rate, high medical costs, and care diffic...
BACKGROUND: Assistive technology, in the form of a smart home environment, is employed to support pe...
The study of brain networks by resting-state functional magnetic resonance imaging (rs-fMRI) is a pr...
We present a comparative split-half resampling analysis of various data driven feature selection and...
INTRODUCTION: Down Syndrome (DS) adults experience accumulation of Alzheimer's disease (AD)-like amy...
In the extremely aged society, rehabilitation staff will be required to provide ample rehabilitation...
New technologies offer innovations to improve the care of the elderly with Alzheimer's or and other ...
Alzheimer's disease (AD) is a chronic neurodegenerative disease of the central nervous system that h...
The analysis of positron emission tomography (PET) scan image is challenging due to a high level of ...
β-secretase (BACE1) is an aspartyl protease, which is considered as a novel vital target in Alzheime...
The merging of the human world and the information technology world is advancing at a pace, even for...
As the early stage of Alzheimer's disease (AD), mild cognitive impairment (MCI) has high chance to c...
The current study aimed to explore (a) reactions of individuals with dementia to an interactive robo...
In this paper, experimental neurophysiologic recording and statistical analysis are combined to inve...
Research on an early detection of Mild Cognitive Impairment (MCI), a prodromal stage of Alzheimer's ...
Artificial intelligence (IA) is the subject of much research, but also many fantasies. It aims to re...
Multivariate pattern analysis (MVPA) methods have become an important tool in neuroimaging, revealin...
BACKGROUND: Neuroimaging techniques combined with computational neuroanatomy have been playing a rol...