Humans
Showing 69861 to 69870 of 95995 articles
A European multicenter study on the analytical performance of the VERIS HBV assay.
Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology
Dec 19, 2017
BACKGROUND: Hepatitis B viral load monitoring is an essential part of managing patients with chronic Hepatits B infection. Beckman Coulter has developed the VERIS HBV Assay for use on the fully automated Beckman Coulter DxN VERIS Molecular Diagnostic...
Enhanced antitumor efficacy of doxorubicin-encapsulated halloysite nanotubes.
International journal of nanomedicine
Dec 19, 2017
To improve the antitumor efficacy of doxorubicin (DOX) and provide novel clinical treatment of gastric cancer, halloysite nanotubes (HNTs) loaded with DOX were encapsulated by soybean phospholipid (LIP) and the formed HNTs/DOX/LIP was systematically ...
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Design, characterisation and evaluation of a soft robotic sock device on healthy subjects for assisted ankle rehabilitation.
Journal of medical engineering & technology
Dec 19, 2017
Motor impairment is one of the common neurological conditions suffered by stroke patients, where this chronic immobility together with the absence of early limb mobilisation can lead to conditions such as joint contracture with spastic limbs. In this...
Biomarker and shear stress in secondary pediatric pulmonary hypertension.
Turkish journal of medical sciences
Dec 19, 2017
Background/aim: Endothelial dysfunction, tissue damage, inflammation, and microthrombosis are involved in the pathogenesis of pulmonary hypertension (PH), which may be present as a complication of congenital heart diseases. This study aims to identif...
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Parathyroid hormone in washout fluid seems to be superior to cytology for localization of the lesion in MIBI-negative patients with primary hyperparathyroidism.
Turkish journal of medical sciences
Dec 19, 2017
Background/aim: Primary hyperparathyroidism (PHPT) is characterized by increased calcium (Ca) and parathyroid hormone (PTH) levels. Surgical removal of the culprit hyperfunctioning parathyroid gland is the preferred treatment. In this study, we aimed...
Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project.
BMC medical informatics and decision making
Dec 19, 2017
BACKGROUND: Prior studies have demonstrated that cardiorespiratory fitness (CRF) is a strong marker of cardiovascular health. Machine learning (ML) can enhance the prediction of outcomes through classification techniques that classify the data into p...
A biological network-based regularized artificial neural network model for robust phenotype prediction from gene expression data.
BMC bioinformatics
Dec 19, 2017
BACKGROUND: Stratification of patient subpopulations that respond favorably to treatment or experience and adverse reaction is an essential step toward development of new personalized therapies and diagnostics. It is currently feasible to generate om...
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Differentiation of the Follicular Neoplasm on the Gray-Scale US by Image Selection Subsampling along with the Marginal Outline Using Convolutional Neural Network.
BioMed research international
Dec 19, 2017
We conducted differentiations between thyroid follicular adenoma and carcinoma for 8-bit bitmap ultrasonography (US) images utilizing a deep-learning approach. For the data sets, we gathered small-boxed selected images adjacent to the marginal outlin...
Topical Tranexamic Acid Reduces Blood Loss in Minimally Invasive Total Knee Arthroplasty Receiving Rivaroxaban.
BioMed research international
Dec 19, 2017
BACKGROUND: It is unclear whether topical (intra-articular) or intravenous TXA reduces blood loss in minimally invasive TKA patients receiving a direct oral anticoagulant for thromboprophylaxis. This study is to investigate whether TXA given intraven...
Epileptic Seizures Prediction Using Machine Learning Methods.
Computational and mathematical methods in medicine
Dec 19, 2017
Epileptic seizures occur due to disorder in brain functionality which can affect patient's health. Prediction of epileptic seizures before the beginning of the onset is quite useful for preventing the seizure by medication. Machine learning technique...
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