Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
BackgroundAlzheimer's disease (AD) exhibits substantial clinical and biological heterogeneity, compl...
Fentanyl, an ultra-potent synthetic opioid, has traditionally been characterized by its acute toxic ...
BACKGROUND: As artificial intelligence (AI) becomes increasingly embedded in clinical decision-makin...
Poststroke cognitive impairment is a common neurological complication in stroke patients, characteri...
Biological proteins play a crucial role at the intersection of oral health and neuroscience, offerin...
BACKGROUND: Alzheimer's Disease (AD) and FrontoTemporal Dementia (FTD) are dementia conditions that ...
INTRODUCTION: Longitudinal trajectories from healthy aging to Mild Cognitive Impairment and Alzheime...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the leading cause of dement...
PURPOSE: We aimed to identify key midlife dementia predictors and develop a novel machine learning (...
BACKGROUND: Alzheimer's disease (AD) and dementia pose a significant clinical and economic burden gl...
Alzheimer's disease (AD) remains a major global health challenge, with current therapies offering on...
To examine the relationship between artificial intelligence (AI) and older adults with chronic disea...
High consumption of colorful fruits and vegetables correlates with low dementia risk, but the exact ...
In this study, a series of thirty-five novel imidazolium salts bearing a 2-oxindoles were designed a...
BACKGROUND: Transthyretin amyloid cardiomyopathy (ATTR-CM) causes a restrictive cardiomyopathy resul...
BACKGROUND: Postacute care (PAC) services are important to ensure functional recovery and provide ad...
Chlamydia pneumoniae is an intracellular bacterium implicated in Alzheimer's disease (AD), but its r...
Intelligent decision-making systems using wearable electronics and deep learning (DL) might identify...
The aging society urgently requires scalable methods to monitor cognitive decline and identify socia...
Exploiting deep learning methods to accelerate the analysis of medical images and the interpretation...
BACKGROUND: High-throughput technologies now produce a wide array of omics data, from genomic and tr...