Humans
Showing 70121 to 70130 of 95995 articles
Nano-biotinylated liposome-based immunoassay for the ultrasensitive detection of protein biomarker in urine.
Talanta
Nov 21, 2017
With the development of proteomics and the continuous discovery of biomarkers of trace proteins, it is important to accurately quantify low abundance protein, especially in urine for clinical diagnostics. In this paper, we reported a novel nano-bioti...
Dual-responsive electrochemical immunosensor for detection of insulin based on dual-functional zinc silicate spheres-palladium nanoparticles.
Talanta
Nov 21, 2017
In this study, described an electrochemical immunoassay for insulin that is based on the use of zinc silicate spheres loaded with palladium nanoparticles (ZnSiO-PdNPs) that act as dual-function labels. The ZnSiO-PdNPs display high electrocatalytic ac...
The neuromorphological caudate-putaminal clustering of neostriate interneurons: Kohonen self-organizing maps and supervised artificial neural networks with multivariate analysis.
Journal of theoretical biology
Nov 21, 2017
AIMS: The objective of this study is to investigate the possibility of the neuromorphotopological clustering of neostriate interneurons (NSIN) and their consequent classification into caudate (CIN) and putaminal neuron type (PIN), according to the nu...
Environmental metabolomics with data science for investigating ecosystem homeostasis.
Progress in nuclear magnetic resonance spectroscopy
Nov 21, 2017
A natural ecosystem can be viewed as the interconnections between complex metabolic reactions and environments. Humans, a part of these ecosystems, and their activities strongly affect the environments. To account for human effects within ecosystems,...
Machine learning, social learning and the governance of self-driving cars.
Social studies of science
Nov 21, 2017
Self-driving cars, a quintessentially 'smart' technology, are not born smart. The algorithms that control their movements are learning as the technology emerges. Self-driving cars represent a high-stakes test of the powers of machine learning, as wel...
An EEG-based functional connectivity measure for automatic detection of alcohol use disorder.
Artificial intelligence in medicine
Nov 21, 2017
BACKGROUND: The abnormal alcohol consumption could cause toxicity and could alter the human brain's structure and function, termed as alcohol used disorder (AUD). Unfortunately, the conventional screening methods for AUD patients are subjective and m...
Area Under Curve
Bayes Theorem
Electroencephalography
Signal Processing, Computer-Assisted
ROC Curve
Logistic Models
Support Vector Machine
Predictive Value of Tests
Automation
Alcoholism
Brain Waves
Female
Reproducibility of Results
Aged
Adult
Male
Middle Aged
Case-Control Studies
Diagnosis, Computer-Assisted
Humans
Brain
Development of an intelligent surgical training system for Thoracentesis.
Artificial intelligence in medicine
Nov 21, 2017
Surgical training improves patient care, helps to reduce surgical risks, increases surgeon's confidence, and thus enhances overall patient safety. Current surgical training systems are more focused on developing technical skills, e.g. dexterity, of t...
Correlation Filters for Detection of Cellular Nuclei in Histopathology Images.
Journal of medical systems
Nov 21, 2017
UNLABELLED: Nuclei detection in histology images is an essential part of computer aided diagnosis of cancers and tumors. It is a challenging task due to diverse and complicated structures of cells. In this work, we present an automated technique for ...
Comparative analysis of weighted gene co-expression networks in human and mouse.
PloS one
Nov 21, 2017
The application of complex network modeling to analyze large co-expression data sets has gained traction during the last decade. In particular, the use of the weighted gene co-expression network analysis framework has allowed an unbiased and systems-...
Proprioceptive assessment in clinical settings: Evaluation of joint position sense in upper limb post-stroke using a robotic manipulator.
PloS one
Nov 21, 2017
Proprioception is a critical component for motor functions and directly affects motor learning after neurological injuries. Conventional methods for its assessment are generally ordinal in nature and hence lack sensitivity. Robotic devices designed t...
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