AIMC Topic: Humans
Showing 66731 to 66740 of 95995 articles
Ultra-high-performance liquid chromatography-mass spectrometry method for neutrophil gelatinase-associated lipocalin as a predictive biomarker in acute kidney injury.
Talanta
Dec 1, 2018
Neutrophil gelatinase associated lipocalin (NGAL) is a protein that was found to be overexpressed in acute kidney injury (AKI). The rise in NGAL concentration, both in urine or plasma, appears earlier than for other classical renal function markers s...
Development of a surface plasmon resonance immunosensor and ELISA for 3-nitrotyrosine in human urine.
Talanta
Dec 1, 2018
3-Nitrotyrosine (3-NT) is thought to be a relevant biomarker of nitrosative stress which is associated with many inflammatory and chronic diseases. It is necessary to develop confidential method for specific and sensitive 3-NT detection. In this pape...
Machine learning to anticipate delivery room activity?
Journal of gynecology obstetrics and human reproduction
Dec 1, 2018
Prediction error connectivity: A new method for EEG state analysis.
NeuroImage
Dec 1, 2018
Several models have been proposed to explain brain regional and interregional communication, the majority of them using methods that tap the frequency domain, like spectral coherence. Considering brain interareal communication as binary interactions,...
Patch-based system for Classification of Breast Histology images using deep learning.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Dec 1, 2018
In this work, we proposed a patch-based classifier (PBC) using Convolutional neural network (CNN) for automatic classification of histopathological breast images. Presence of limited images necessitated extraction of patches and augmentation to boost...
Technical and clinical overview of deep learning in radiology.
Japanese journal of radiology
Dec 1, 2018
Deep learning has been applied to clinical applications in not only radiology, but also all other areas of medicine. This review provides a technical and clinical overview of deep learning in radiology. To gain a more practical understanding of deep ...
Evaluation of Effect of Glucosamine-Chondroitin Sulfate, Tramadol, and Sodium Hyaluronic Acid on Expression of Cytokine Levels in Internal Derangement of Temporomandibular Joint.
The journal of contemporary dental practice
Dec 1, 2018
AIM: Evaluation of the effect of glucosamine-chondroitin combination, tramadol, and sodium hyaluronic acid in temporomandibular joint (TMJ) disorders and its impact on the expression of various cytokines such as IL-6, IL-1β, TNF-α, and PGE2.
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In vitro activity of tedizolid and other comparator drugs in methicillin-resistant Staphylococcus aureus isolates in skin and soft tissue infections in seven Colombian hospitals.
Biomedica : revista del Instituto Nacional de Salud
Dec 1, 2018
Introduction: Methicillin-resistant Staphylococcus aureus (MRSA) causes severe skin and soft tissue infections in hospitals and, more recently, in the community. Tedizolid is a new second-generation oxazolidinone derivative having greater in vitro po...
Transfer learning improves resting-state functional connectivity pattern analysis using convolutional neural networks.
GigaScience
Dec 1, 2018
BACKGROUND: Deep learning is gaining importance in the prediction of cognitive states and brain pathology based on neuroimaging data. Including multiple hidden layers in artificial neural networks enables unprecedented predictive power; however, the ...
Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI.
European radiology
Nov 30, 2018
OBJECTIVE: To investigate the value of machine learning (ML)-based high-dimensional quantitative texture analysis (qTA) on T2-weighted magnetic resonance imaging (MRI) in predicting response to somatostatin analogues (SA) in acromegaly patients with ...
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