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https://www.readbyqxmd.com/read/28550713/state-of-the-art-on-oocyte-cryopreservation-in-female-cancer-patients-a-critical-review-of-the-literature
#1
REVIEW
Claudia Massarotti, Paola Scaruffi, Matteo Lambertini, Valentino Remorgida, Lucia Del Mastro, Paola Anserini
During the last decades, important advances in therapeutic options have led to increased survival rates in cancer patients; however, cancer treatments are associated with several potential adverse effects including infertility in those diagnosed during their reproductive years. A proper discussion about fertility preservation options before the use of therapies with potential gonadotoxicity (i.e. oncofertility counseling) is standard of care and should be offered to all patients of childbearing age. Temporary ovarian suppression with LH-RH analogs, oocyte and embryo cryopreservation are standard strategies for fertility preservation in female cancer patients...
May 9, 2017: Cancer Treatment Reviews
https://www.readbyqxmd.com/read/28550499/systematic-review-of-fmri-compatible-devices-design-and-testing-criteria
#2
REVIEW
V Hartwig, N Carbonaro, A Tognetti, N Vanello
Functional Magnetic Resonance Imaging (fMRI) is at present one of the most used methodologies for functional brain exploration, both in clinical and research settings. fMRI can noninvasively measure neural activity by using specific experimental paradigms. Often, these paradigms require the stimulation of the subject to perform sensorimotor tasks: in the past, the stimuli have been administered manually for investigating fundamental aspects of tactile perception and somatosensory processing. Nowadays, the use of mechatronic devices to stimulate the subject during fMRI studies is growing, also to assure reproducibility, control, and monitoring of task performances...
May 26, 2017: Annals of Biomedical Engineering
https://www.readbyqxmd.com/read/28550413/glottal-gap-tracking-by-a-continuous-background-modeling-using-inpainting
#3
Gustavo Andrade-Miranda, Juan Ignacio Godino-Llorente
The visual examination of the vibration patterns of the vocal folds is an essential method to understand the phonation process and diagnose voice disorders. However, a detailed analysis of the phonation based on this technique requires a manual or a semi-automatic segmentation of the glottal area, which is difficult and time consuming. The present work presents a cuasi-automatic framework to accurately segment the glottal area introducing several techniques not explored before in the state of the art. The method takes advantage of the possibility of a minimal user intervention for those cases where the automatic computation fails...
May 27, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28549952/drug-target-interaction-prediction-using-ensemble-learning-and-dimensionality-reduction
#4
Ali Ezzat, Min Wu, Xiao-Li Li, Chee-Keong Kwoh
Experimental prediction of drug-target interactions is expensive, time-consuming and tedious. Fortunately, computational methods help narrow down the search space for interaction candidates to be further examined via wet-lab techniques. Nowadays, the number of attributes/features for drugs and targets, as well as the amount of their interactions, are increasing, making these computational methods inefficient or occasionally prohibitive. This motivates us to derive a reduced feature set for prediction. In addition, since ensemble learning techniques are widely used to improve the classification performance, it is also worthwhile to design an ensemble learning framework to enhance the performance for drug-target interaction prediction...
May 23, 2017: Methods: a Companion to Methods in Enzymology
https://www.readbyqxmd.com/read/28549883/a-non-iterative-multi-scale-approach-for-intensity-inhomogeneity-correction-in-mri
#5
Maryjo M George, S Kalaivani, M S Sudhakar
Intensity inhomogeneity is the prime obstacle for MR image processing like automatic segmentation, registration etc. This complication has strong dependence on the associated acquisition hardware and patient anatomy which recommends retrospective correction. In this paper, a new method is developed for correcting the intensity inhomogeneity using a non-iterative multi-scale approach that doesn't necessitate segmentation and any prior knowledge on the scanner or subject. The proposed algorithm extracts bias field at different scales using a Log-Gabor filter bank followed by smoothing operation...
May 23, 2017: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/28549410/large-scale-tissue-histopathology-image-classification-segmentation-and-visualization-via-deep-convolutional-activation-features
#6
Yan Xu, Zhipeng Jia, Liang-Bo Wang, Yuqing Ai, Fang Zhang, Maode Lai, Eric I-Chao Chang
BACKGROUND: Histopathology image analysis is a gold standard for cancer recognition and diagnosis. Automatic analysis of histopathology images can help pathologists diagnose tumor and cancer subtypes, alleviating the workload of pathologists. There are two basic types of tasks in digital histopathology image analysis: image classification and image segmentation. Typical problems with histopathology images that hamper automatic analysis include complex clinical representations, limited quantities of training images in a dataset, and the extremely large size of singular images (usually up to gigapixels)...
May 26, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28549320/light-emission-miracle-in-the-sea-and-preeminent-applications-of-bioluminescence-in-recent-new-biotechnology
#7
Sana Sharifian, Ahmad Homaei, Roohullah Hemmati, Khosro Khajeh
Bioluminescence is referred to the light emission by a living organism due to a specific biochemical reaction. This interesting feature of the organisms could highly influences behavioral and ecosystem dynamics. Luminescence, mostly observed in marine species, is generally higher in deep-living genera than in benthic or shallow organisms. However, among creatures living in land, fireflies, beetles, springtails and fungi have shown some bioluminescent activities. Classically, the emission of light is catalyzed by luciferase from a substrate...
May 17, 2017: Journal of Photochemistry and Photobiology. B, Biology
https://www.readbyqxmd.com/read/28548302/fast-computation-of-full-density-matrix-of-multispin-systems-for-spatially-localized-in-vivo-magnetic-resonance-spectroscopy
#8
Yan Zhang, Li An, Jun Shen
PURPOSE: Numerical simulations of three-dimensionally localized MRS spectra have been very time-consuming for multi-spin systems because the current state-of-the-art requires computation of a large ensemble of spins pixel-by-pixel in three dimensional space. This paper describes a highly accelerated technique for computing spatially localized MRS spectra using the full solution to the Liouville-von Neumann equation. METHODS: The time evolution of spatially localized multispin density matrix as the full solution to the Liouville-von Neumann equation was analyzed...
May 26, 2017: Medical Physics
https://www.readbyqxmd.com/read/28547752/development-and-psychometric-validation-of-pukat-2%C3%A2-0-a-knowledge-assessment-tool-for-pressure-ulcer-prevention
#9
Bénédicte Manderlier, Nele Van Damme, Katrien Vanderwee, Sofie Verhaeghe, Ann Van Hecke, Dimitri Beeckman
The aim of this study was to develop a tool to measure the knowledge of nurses on pressure ulcer prevention. PUKAT 2·0 is a revised and updated version of the Pressure Ulcer Knowledge Assessment Tool (PUKAT) developed in 2010 at Ghent University, Belgium. The updated version was developed using state-of-the-art techniques to establish evidence concerning validity and reliability. Face and content validity were determined through a Delphi procedure including both experts from the European Pressure Ulcer Advisory Panel (EPUAP) and the National Pressure Ulcer Advisory Panel (NPUAP) (n = 15)...
May 26, 2017: International Wound Journal
https://www.readbyqxmd.com/read/28546862/block-sparsity-based-joint-compressed-sensing-recovery-of-multi-channel-ecg-signals
#10
Anurag Singh, Samarendra Dandapat
In recent years, compressed sensing (CS) has emerged as an effective alternative to conventional wavelet based data compression techniques. This is due to its simple and energy-efficient data reduction procedure, which makes it suitable for resource-constrained wireless body area network (WBAN)-enabled electrocardiogram (ECG) telemonitoring applications. Both spatial and temporal correlations exist simultaneously in multi-channel ECG (MECG) signals. Exploitation of both types of correlations is very important in CS-based ECG telemonitoring systems for better performance...
April 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28546838/dmap-assisted-sulfonylation-as-an-efficient-step-for-the-methylation-of-primary-amine-motifs-on-solid-support
#11
Johnny N Naoum, Koushik Chandra, Dorit Shemesh, R Benny Gerber, Chaim Gilon, Mattan Hurevich
Several multistep strategies were developed to ensure single methylation of amines on solid support. These strategies rely on the introduction of the o-NBS protecting/activating group as a key step. We found that the state-of-the-art strategies fail for the methylation of several primary amine motifs, largely due to inefficient sulfonylation. Here we show that using the superior nucleophilic base DMAP instead of the commonly used base collidine as a sulfonylation additive is essential for the introduction of the o-NBS group to these amine motifs...
2017: Beilstein Journal of Organic Chemistry
https://www.readbyqxmd.com/read/28546634/high-gain-graphene-transistors-with-a-thin-alox-top-gate-oxide
#12
Erica Guerriero, Paolo Pedrinazzi, Aida Mansouri, Omid Habibpour, Michael Winters, Niklas Rorsman, Ashkan Behnam, Enrique A Carrion, Amaia Pesquera, Alba Centeno, Amaia Zurutuza, Eric Pop, Herbert Zirath, Roman Sordan
The high-frequency performance of transistors is usually assessed by speed and gain figures of merit, such as the maximum oscillation frequency f max, cutoff frequency f T, ratio f max/f T, forward transmission coefficient S 21, and open-circuit voltage gain A v. All these figures of merit must be as large as possible for transistors to be useful in practical electronics applications. Here we demonstrate high-performance graphene field-effect transistors (GFETs) with a thin AlOx gate dielectric which outperform previous state-of-the-art GFETs: we obtained f max/f T > 3, A v > 30 dB, and S 21 = 12...
May 25, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28546583/hybridizing-feature-selection-and-feature-learning-approaches-in-qsar-modeling-for-drug-discovery
#13
Ignacio Ponzoni, Víctor Sebastián-Pérez, Carlos Requena-Triguero, Carlos Roca, María J Martínez, Fiorella Cravero, Mónica F Díaz, Juan A Páez, Ramón Gómez Arrayás, Javier Adrio, Nuria E Campillo
Quantitative structure-activity relationship modeling using machine learning techniques constitutes a complex computational problem, where the identification of the most informative molecular descriptors for predicting a specific target property plays a critical role. Two main general approaches can be used for this modeling procedure: feature selection and feature learning. In this paper, a performance comparative study of two state-of-art methods related to these two approaches is carried out. In particular, regression and classification models for three different issues are inferred using both methods under different experimental scenarios: two drug-like properties, such as blood-brain-barrier and human intestinal absorption, and enantiomeric excess, as a measurement of purity used for chiral substances...
May 25, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28546568/textured-nise2-film-bifunctional-electrocatalyst-for-full-water-splitting-at-remarkably-low-overpotential-with-high-energy-efficiency
#14
Abdurazag T Swesi, Jahangir Masud, Wipula P R Liyanage, Siddesh Umapathi, Eric Bohannan, Julia Medvedeva, Manashi Nath
Herein we have shown that electrodeposited NiSe2 can be used as a bifunctional electrocatalyst under alkaline conditions to split water at very low potential by catalyzing both oxygen evolution and hydrogen evolution reactions at anode and cathode, respectively, achieving a very high electrolysis energy efficiency exceeding 80% at considerably high current densities (100 mA cm(-2)). The OER catalytic activity as well as electrolysis energy efficiency surpasses any previously reported OER electrocatalyst in alkaline medium and energy efficiency of an electrolyzer using state-of-the-art Pt and RuO2 as the HER and OER catalyst, respectively...
May 25, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28546061/primary-biliary-cholangitis-advances-in-management-and-treatment-of-the-disease
#15
Pietro Invernizzi', Annarosa Floreani, Marco Carbone, Marco Marzioni, Antonio Craxi, Luigi Muratori, Umberto Vespasiani Gentilucci, Ivan Gardini, Antonio Gasbarrini, Paola Krugeri, Francesco Saverio Mennini, Virginia Ronco, Elena Lanati, Pier Luigi Canonico, Domenico Alvaro
Primary Biliary Cholangitis, previously known as Primary Biliary Cirrhosis, is a rare disease, which mainly affects women in their fifth to seventh decades of life. It is a chronic autoimmune disease characterized by a progressive damage of interlobular bile ducts leading to ductopenia, chronic cholestasis and bile acids retention. Even if the disease usually presents a long asymptomatic phase and a slow progression, in many patients it may progress faster toward cirrhosis and its complications. The 10year mortality is greater than in diseases such as human immunodeficiency virus/Hepatitis C Virus coinfection and breast cancer...
May 8, 2017: Digestive and Liver Disease
https://www.readbyqxmd.com/read/28546054/moving-towards-shared-decision-making-in-the-physician-patient-encounter-in-france-state-of-the-art-and-future-prospects
#16
Nora Moumjid, Julien Carretier, Giovanna Marsico, François Blot, Christine Durif-Bruckert, Franck Chauvin
In this paper we present the evolution of shared decision-making since the mid-nineties in terms of legislation, official statements and guidelines. We outline the goals and declarations of the French Ministry of Health and the French National Authority for Health, for whom informing patients and shared decision-making are central concerns. Finally, we discuss research projects and clinical initiatives in shared decision-making in France and provide a general overview of progress and barriers to progress.
May 22, 2017: Zeitschrift Für Evidenz, Fortbildung und Qualität Im Gesundheitswesen
https://www.readbyqxmd.com/read/28546050/shared-decision-making-in-argentina-in-2017
#17
Mariela Barani, Karin Kopitowski, Carolina Carrara, María Victoria Ruiz Yanzi
Argentina is a high-middle income country located in Southern South America with an estimated population of 44 million inhabitants. The epidemiological profile of the population is characterised by an increase of non-communicable diseases. The health system is heterogeneous, fragmented and loosely integrated. There are no unified research agenda or government initiatives encouraging the implementation of and research on Shared Decision-Making (SDM). Progress has been made lately to respect patient autonomy through the enactment of the 'Patients' Rights Act', which expressly enshrines the right of patients to get information as a key element of decision-making...
May 22, 2017: Zeitschrift Für Evidenz, Fortbildung und Qualität Im Gesundheitswesen
https://www.readbyqxmd.com/read/28545872/imaging-of-liver-transplantation
#18
Rossano Girometti, Martina Pancot, Giuseppe Como, Chiara Zuiani
Liver transplantation (LT) is the treatment of choice for end-stage chronic liver disease, fulminant liver failure and early stage hepatocellular carcinoma. As discussed in this review, state-of-the-art imaging modalities including ultrasonography (US), computed tomography (CT) and magnetic resonance imaging (MRI) play a pivotal role in the selection of patients and donors, as well as in early detection of those complications at risk of impairing graft function and/or survival. We also illustrate main imaging findings related to the wide spectrum of clinical problems raised by LT...
May 15, 2017: European Journal of Radiology
https://www.readbyqxmd.com/read/28545607/dynamically-weighted-evolutionary-ordinal-neural-network-for-solving-an-imbalanced-liver-transplantation-problem
#19
Manuel Dorado-Moreno, María Pérez-Ortiz, Pedro A Gutiérrez, Rubén Ciria, Javier Briceño, César Hervás-Martínez
OBJECTIVE: Create an efficient decision-support model to assist medical experts in the process of organ allocation in liver transplantation. The mathematical model proposed here uses different sources of information to predict the probability of organ survival at different thresholds for each donor-recipient pair considered. Currently, this decision is mainly based on the Model for End-stage Liver Disease, which depends only on the severity of the recipient and obviates donor-recipient compatibility...
March 2017: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/28545390/mqaprank-improved-global-protein-model-quality-assessment-by-learning-to-rank
#20
Xiaoyang Jing, Qiwen Dong
BACKGROUND: Protein structure prediction has achieved a lot of progress during the last few decades and a greater number of models for a certain sequence can be predicted. Consequently, assessing the qualities of predicted protein models in perspective is one of the key components of successful protein structure prediction. Over the past years, a number of methods have been developed to address this issue, which could be roughly divided into three categories: single methods, quasi-single methods and clustering (or consensus) methods...
May 25, 2017: BMC Bioinformatics
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