Latest AI and machine learning research in geriatrics for healthcare professionals.
Speech enhancement (SE) and automatic speech recognition (ASR) in real-time processing involve impro...
Traditional diagnostic methods for Alzheimer's disease often suffer from low accuracy and lengthy pr...
With the rapid development of artificial intelligence, there is an increasing utilization of intelli...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that significantly impacts cogn...
Hip fractures among the elderly population continue to present significant risks and high mortality ...
The study aimed to develop an AI-assisted ultrasound model for early liver trauma identification, us...
BACKGROUND: Stomach adenocarcinoma (STAD) is one of most common cancers with high invasiveness and p...
The current depth of site-specific N-glycoproteomics is insufficient to fully characterize glycosyla...
Neurodegenerative diseases (NDDs), including Alzheimer's disease (AD) and Parkinson's disease (PD), ...
Renal stones (RS) are common urologic condition with unclear pathogenesis. Role of aging-related dif...
This study developed machine learning models to predict Aβ positivity in Alzheimer's disease by inte...
The total number of older persons globally (those aged 60 years and above) was 202 million in 1950; ...
Currently, there are over 300 million patients with cardiovascular diseases in China. With the accel...
Acute myocardial infarction (AMI) poses a significant global mortality burden. Utilizing bio informa...
Tumor suppressor genes (TSGs) are critical regulators of cellular homeostasis and are extensively st...
Extracellular vesicles (EVs) in plasma are composed of exosomes, microvesicles, and apoptotic bodies...
Voice-based authentication systems have become increasingly vulnerable to logical access (LA) spoofi...
Parkinson's disease (PD) is a devastating neurological ailment affecting both mobility and cognitive...
Patients with lumbar degenerative disease typically undergo preoperative MRI combined with CT scans,...
Birds have adapted to climatic and ecological cycles to inform their Spring and Fall migration timin...
OBJECTIVE: This study aimed to develop and validate a predictive model to detect osteoporosis using ...