Latest AI and machine learning research in geriatrics for healthcare professionals.
The total number of older persons globally (those aged 60 years and above) was 202 million in 1950; ...
This study developed machine learning models to predict Aβ positivity in Alzheimer's disease by inte...
Renal stones (RS) are common urologic condition with unclear pathogenesis. Role of aging-related dif...
Neurodegenerative diseases (NDDs), including Alzheimer's disease (AD) and Parkinson's disease (PD), ...
The current depth of site-specific N-glycoproteomics is insufficient to fully characterize glycosyla...
Vascular cognitive impairment (VCI) is an umbrella term for diseases associated with cognitive decli...
OBJECTIVE: Colorectal cancer (CRC) ranks as the third most prevalent contributor to global disease b...
BACKGROUND: Stomach adenocarcinoma (STAD) is one of most common cancers with high invasiveness and p...
Long-range order and disorder in small molecules significantly impact their physical and chemical pr...
The increasing integration of artificial intelligence (AI) in healthcare not only holds the potentia...
Specific subpopulations of extracellular vesicles (EVs) hold significant clinical potential for biom...
Maize crop productivity is significantly impacted by various foliar diseases, emphasizing the need f...
BackgroundThe retrogenesis hypothesis (RH) suggests that the functional and cognitive decline observ...
BackgroundMild cognitive impairment (MCI) is a risk factor for dementia, and early screening is cruc...
BACKGROUND: The connection between cognition, eye, and brain remains inconclusive in Alzheimer's dis...
Dysregulation of lipid metabolism is increasingly recognized as a key factor in the pathogenesis of ...
BACKGROUND: The rapid evolution of generative artificial intelligence (GenAI) is transforming health...
OBJECTIVE: Electroencephalography (EEG) is a method that offers detailed observations of electrical ...
BackgroundDistinct risk factors influence Alzheimer's disease (AD) stage stratification, yet effecti...
γ neuromodulation has emerged as a promising strategy for addressing neurological and psychiatric di...
BACKGROUND: Two of the most common complaints seen in neurology clinics are Alzheimer's disease (AD)...