Latest AI and machine learning research in medicare for healthcare professionals.
BACKGROUND: Life expectancy is one of the most important factors in end-of-life decision making. Goo...
Computational prioritization of chemicals for potential skin sensitization risks plays essential rol...
We present an efficient deep learning approach for the challenging task of tumor segmentation in mul...
Health care organizations are leveraging machine-learning techniques, such as artificial neural netw...
As with medicine, artistic practice has a historical relationship with technologies. As technology a...
Abnormally short or long durations of sleep have been proposed as a risk factors for diabetes and i...
We aimed to investigate the status of serum 25-hydroxyvitamin D [25(OH)D] among Chinese postmenopau...
BACKGROUND: Long noncoding RNAs (lncRNAs) are widely involved in the initiation and development of c...
Our objective was to evaluate a 200,000 cells/mL somatic cell count (SCC) cut-point on both the quar...
Questions related to the safety of alternative water sources, such as recycled water or reclaimed wa...
The aims were to characterize follicular dynamics in response to supplemental progesterone (P4) and ...
Progesterone (P4) supplementation in early diestrus advances changes in the endometrial transcriptom...
Software testing of knowledge-based clinical decision support systems is challenging, labor intensiv...
This study investigated the automated detection of antiretroviral toxicities in structured electroni...
Long noncoding RNAs (lncRNAs) can exert their function by interacting with the DNA via triplex struc...
BACKGROUND: With the development of sequencing technology, more and more long non-coding RNAs (lncRN...
A sensitive spectrophotometric method for the determination of dissolved titanium (Ti) in seawater i...
RATIONALE AND OBJECTIVES: We have designed and constructed an MR-safe robot made entirely of nonmeta...
The effectiveness of a cardiovascular magnetic resonance (CMR) scan depends on the ability of the op...
For many neural network models in which neurons are trained to classify inputs like perceptrons, the...
BACKGROUND: Determining the epidemic threshold parameter helps health providers calculate the covera...