Latest AI and machine learning research in geriatrics for healthcare professionals.
Early and self-identification of locomotive degradation facilitates us with awareness and motivation...
BACKGROUND: Myostatin (MSTN) is a key negative regulator of muscle mass in humans and animals, havin...
Longitudinal MRIs are often used to capture the gradual deterioration of brain structure and functio...
OBJECTIVES: To evaluate the impact of sarcopenia and myosteatosis on urinary incontinence after pros...
The number of smart homes is rapidly increasing. Smart homes typically feature functions such as voi...
Dual-energy X-ray absorptiometry (DXA) is underutilized to measure bone mineral density (BMD) and ev...
Falls continue to be a major safety and health concern for older adults. Researchers reported that i...
Studies have shown that using robot pets in dementia care contributes to a reduction in loneliness a...
The search for novel therapeutic compounds remains an overwhelming task owing to the time-consuming ...
Deep neural networks (DNNs) capture complex relationships among variables, however, because they req...
Aging contributes to the progression of vascular dysfunction and is a major nonreversible risk facto...
Long-read sequencing enables variant detection in genomic regions that are considered difficult-to-m...
This study aims to establish a biological age (BA) predictor and to investigate the roles of lifesty...
Bidirectional Encoder Representations from Transformers (BERT) and BERT-based approaches are the cur...
Visual emotion analysis (VEA) has attracted great attention recently, due to the increasing tendency...
AIMS: This study aimed to develop a deep learning-based model for differentiating tauopathies, inclu...
Structural magnetic resonance imaging (sMRI) is widely used for the brain neurological disease diagn...
BACKGROUND: Identification of reliable, affordable, and easy-to-use strategies for detection of deme...
The 2019-2020 coronavirus pandemic had far-reaching consequences beyond the spread of the disease an...
Accurate segmentation of breast masses is an essential step in computer aided diagnosis of breast ca...
Deep Neural Networks (DNN) have been recently developed for the estimation of Biological Age (BA), t...