Latest AI and machine learning research in geriatrics for healthcare professionals.
Understanding patient accumulation of comorbidities can facilitate healthcare strategy and personali...
Drug designing and development is an important area of research for pharmaceutical companies and che...
Keyword search (KWS) means searching for keywords given by the user from continuous speech. Conventi...
BACKGROUND: Venous thoracic outlet syndrome (vTOS) is caused by external compression of the subclavi...
BACKGROUND: Determine the effects of an integrated rehabilitation protocol, including botulinum toxi...
Pollinators are undergoing a global decline. Although vital to pollinator conservation and ecologica...
Evidence has accumulated enough to prove non-coding RNAs (ncRNAs) play important roles in cellular b...
Monolithic neural networks and end-to-end training have become the dominating trend in the field of ...
PURPOSE: Iterative convolutional neural networks (CNNs) which resemble unrolled learned iterative sc...
Postoperative cognitive dysfunction (POCD) refers to the complications of the central nervous system...
We evaluated the utility of leucocyte epigenomic-biomarkers for Alzheimer's Disease (AD) detection a...
Social isolation is a common phenomenon among the elderly. Retirement, widowhood, and increased prev...
Observing Alzheimer's disease (AD) pathological changes in vivo with neuroimaging provides invaluabl...
Cardiovascular Disease (CVD) is a primary cause of heart problems such as angina and myocardial isch...
The topology of protein folds can be specified by the inter-residue contact-maps and accurate contac...
The remarkable successes of convolutional neural networks (CNNs) in modern computer vision are by no...
Natural long-chain alkanol and alkyl carboxylic acid were used to prepare novel hydrophobic deep eut...
Speaker recognition is a task of identifying persons from their voices. Recently, deep learning has ...
Microfluidic-based assays have become effective high-throughput approaches to examining replicative ...
In this paper, we propose a cycle consistent network based end-to-end TTS for speaking style transfe...
Manual segmentation of muscle and adipose compartments from computed tomography (CT) axial images is...