Latest AI and machine learning research in dementia for healthcare professionals.
BACKGROUND: Memory dysfunction is characteristic of aging and often attributed to Alzheimer's diseas...
BACKGROUND: Recruiting patients for clinical trials of potential therapies for Alzheimer's disease (...
Accurate and early diagnosis of Alzheimer's disease (AD) plays important role for patient care and d...
The differential diagnosis of atypical dementia remains difficult. The use of positron emission tomo...
Alzheimer's disease (AD), a progressive brain disorder, is the most common neurodegenerative disease...
Electroencephalogram (EEG) signal based early diagnosis of Alzheimer's Disease (AD), especially a di...
BACKGROUND: Virtual Screening (VS) has emerged as an important tool in the drug development process,...
In this study, we aimed to teach elementary school students how to practically deal with elderly peo...
Patient data in clinical research often includes large amounts of structured information, such as ne...
Naodesheng (NDS) formula, which consists of Rhizoma Chuanxiong, Lobed Kudzuvine, Carthamus tinctoriu...
BACKGROUND: Available therapies for Alzheimer's disease (AD) can only alleviate and delay the advanc...
OBJECTIVES: Social scientists need practical methods for harnessing large, publicly available datase...
In this paper, we present a novel tool to measure engagement in people with dementia playing board g...
This paper presents a framework of simulation-based design for robotic care devices developed to red...
A telepresence mobile robot is a remote-controlled, wheeled device with wireless internet connectivi...
BACKGROUND: Alzheimer's disease (AD) is one of most serious threats to human beings, however, the tr...
The task of performing transfers, such as from a wheelchair to a bed, has a high risk of injury to ...
Alzheimer's disease (AD) is a neurological degenerative disorder that leads to progressive mental de...