Latest AI and machine learning research in medicaid for healthcare professionals.
BACKGROUND AND PURPOSE: Permanent seed brachytherapy is an established treatment option for localize...
Energy-saving and low-carbon technologies play important roles in reducing environmental risk and de...
Hypothyroidism delays wound healing by reducing the synthesis of keratinocytes, fibroblast cells, a...
Recently, a great deal of scientific endeavour has been devoted to developing spin-based neuromorphi...
The global burden of cancer, severe diagnostic bottlenecks in underserved regions, and underfunded h...
In this paper, we propose a robust subspace learning (SL) framework for dimensionality reduction whi...
Low-rank representation (LRR) has aroused much attention in the community of data mining. However, i...
Acute coronary syndrome (ACS) encompasses a range of thrombotic coronary artery diseases. Protein Z ...
Oxidative stress, inflammation status, endothelial dysfunction, and imbalanced lipid metabolism play...
CCTA has become an important tool for coronary arteries assessment in low and medium risk patients. ...
Large-scale neural recordings have established that the transformation of sensory stimuli into motor...
Covering a whole surface of a robot with tiny sensors which can measure local pressure and transmit ...
Measures of moment-to-moment fluctuations in brain activity of an individual at rest have been shown...
Low back pain (LBP) remains one of the most prevalent musculoskeletal disorders, while algorithms th...
Recently, sparse representation, which relies on the underlying assumption that samples can be spars...
Perceptions, thoughts, and actions unfold over millisecond timescales, while learned behaviors can r...
Traumatically brain injured (TBI) patients are at risk from secondary insults. Arterial hypotension,...
Prediction of compound properties from structure via quantitative structure-activity relationship an...
As a promising radar imaging technique, terahertz coded-aperture imaging (TCAI) can achieve high-res...
Compact binary representations of histopa-thology images using hashing methods provide efficient app...
In this paper, we present an approach for minimizing the computational complexity of the trained con...