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Showing 69891 to 69900 of 95995 articles
Fast and easy extraction of antidepressants from whole blood using ionic liquids as extraction solvent.
Talanta
Dec 16, 2017
This study aims to prove that ionic liquids (ILs) can be used as extraction solvents in a liquid-liquid microextraction, coupled to LC-MS/MS, for the quantification of a large group of antidepressants in whole blood samples. The sample preparation pr...
Robustness in living organisms is homeostasis.
Seminars in immunology
Dec 16, 2017
In order to survive and reproduce, living organisms must be robust, tolerate injuries and undergo repair. Robustness in living organisms compares to robustness in human inventions, such as buildings and machines, which have to withstand occasional da...
Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm.
Computer methods and programs in biomedicine
Dec 16, 2017
Background and Objective Fatty Liver Disease (FLD) - a disease caused by deposition of fat in liver cells, is predecessor to terminal diseases such as liver cancer. The machine learning (ML) techniques applied for FLD detection and risk stratificatio...
Efficient deep learning model for mitosis detection using breast histopathology images.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Dec 16, 2017
Mitosis detection is one of the critical factors of cancer prognosis, carrying significant diagnostic information required for breast cancer grading. It provides vital clues to estimate the aggressiveness and the proliferation rate of the tumour. The...
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Bionalytical validation study for the determination of unbound ambrisentan in human plasma using rapid equilibrium dialysis followed by ultra performance liquid chromatography coupled to mass spectrometry.
Journal of pharmaceutical and biomedical analysis
Dec 16, 2017
Ambrisentan is a highly selective endothelin-1 type A receptor antagonist indicated for use in the treatment of pulmonary hypertension. In this study an assay was developed and validated for the quantification of total and unbound (free) concentratio...
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Label-free sensor for automatic identification of erythrocytes using digital in-line holographic microscopy and machine learning.
Biosensors & bioelectronics
Dec 15, 2017
Cell types of erythrocytes should be identified because they are closely related to their functionality and viability. Conventional methods for classifying erythrocytes are time consuming and labor intensive. Therefore, an automatic and accurate eryt...
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Catheter Ablation of Focal Atrial Tachycardia Using Remote Magnetic Navigation.
The Journal of invasive cardiology
Dec 15, 2017
OBJECTIVES: The outcomes of catheter ablation in focal atrial tachycardia (AT) using remote magnetic navigation (RMN) are still controversial. The objectives of this study were to assess the acute and long-term outcomes of catheter ablation in focal ...
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Simultaneous determination of Vitamin A, 25-hydroxyl vitamin D α-tocopherol in small biological fluids by liquid chromatography-tandem mass spectrometry.
Journal of chromatography. B, Analytical technologies in the biomedical and life sciences
Dec 15, 2017
A sensitive method for the simultaneous analysis of vitamin A (VA), 25-hydroxyl vitamin D (25-OH VD) and α-tocopherol (VE) in children plasma by liquid chromatography-tandem mass spectrometry (LC-MS/MS) has been developed and validated. Sample prepar...
Detecting atrial fibrillation by deep convolutional neural networks.
Computers in biology and medicine
Dec 15, 2017
BACKGROUND: Atrial fibrillation (AF) is the most common cardiac arrhythmia. The incidence of AF increases with age, causing high risks of stroke and increased morbidity and mortality. Efficient and accurate diagnosis of AF based on the ECG is valuabl...
Modeling the control of the central nervous system over the cardiovascular system using support vector machines.
Computers in biology and medicine
Dec 15, 2017
The control of the central nervous system (CNS) over the cardiovascular system (CS) has been modeled using different techniques, such as fuzzy inductive reasoning, genetic fuzzy systems, neural networks, and nonlinear autoregressive techniques; the r...
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