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https://www.readbyqxmd.com/read/29169067/the-role-of-personal-resilience-and-personality-traits-of-healthcare-students-on-their-attitudes-towards-interprofessional-collaboration
#1
Michal Avrech Bar, Michal Katz Leurer, Sigalit Warshawski, Michal Itzhaki
BACKGROUND: Interprofessional collaboration (IPC) improves communication between healthcare workers and healthcare delivery. Interprofessional education (IPE) is essential in preparing healthcare students for cooperating with other healthcare disciplines in a real work setting. Although higher education settings have a responsibility to provide collaborative healthcare practice to students, IPE has not yet been prompted worldwide as a formal division in health professional education and in Israel IPE among health professions students is scarce...
November 15, 2017: Nurse Education Today
https://www.readbyqxmd.com/read/29169029/learning-normalized-inputs-for-iterative-estimation-in-medical-image-segmentation
#2
Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Mahsa Shakeri, Lisa Di Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal, Samuel Kadoury
In this paper, we introduce a simple, yet powerful pipeline for medical image segmentation that combines Fully Convolutional Networks (FCNs) with Fully Convolutional Residual Networks (FC-ResNets). We propose and examine a design that takes particular advantage of recent advances in the understanding of both Convolutional Neural Networks as well as ResNets. Our approach focuses upon the importance of a trainable pre-processing when using FC-ResNets and we show that a low-capacity FCN model can serve as a pre-processor to normalize medical input data...
November 14, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/29168769/early-detection-of-the-initiation-of-sit-to-stand-posture-transitions-using-orthosis-mounted-sensors
#3
Abul Doulah, Xiangrong Shen, Edward Sazonov
Assistance during sit-to-stand (SiSt) transitions for frail elderly may be provided by powered orthotic devices. The control of the powered orthosis may be performed by the means of electromyography (EMG), which requires direct contact of measurement electrodes to the skin. The purpose of this study was to determine if a non-EMG-based method that uses inertial sensors placed at different positions on the orthosis, and a lightweight pattern recognition algorithm may accurately identify SiSt transitions without false positives...
November 23, 2017: Sensors
https://www.readbyqxmd.com/read/29168526/how-the-toxicity-of-nanomaterials-towards-different-species-could-be-simultaneously-evaluated-a-novel-multi-nano-read-across-approach
#4
Natalia Sizochenko, Alicja Mikolajczyk, Karolina Jagiello, Tomasz Puzyn, Jerzy Leszczynski, Bakhtiyor Rasulev
Application of predictive modeling approaches can solve the problem of missing data. Numerous studies have investigated the effects of missing values on qualitative or quantitative modeling, but only a few studies have discussed it for the case of applications in nanotechnology-related data. The present study is aimed at the development of a multi-nano-read-across modeling technique that helps in predicting the toxicity of different species such as bacteria, algae, protozoa, and mammalian cell lines. Herein, the experimental toxicity of 184 metal and silica oxide (30 unique chemical types) nanoparticles from 15 datasets is analyzed...
November 23, 2017: Nanoscale
https://www.readbyqxmd.com/read/29168163/a-pilot-quality-improvement-collaborative-to-improve-safety-net-dental-access-for-pregnant-women-and-young-children
#5
Emily B Vander Schaaf, Rocio B Quinonez, Amanda C Cornett, Greg D Randolph, Kim Boggess, Kori B Flower
Objectives To determine acceptability and feasibility of a quality improvement (QI) collaborative in safety net dental practices, and evaluate its effects on financial stability, access, efficiency, and care for pregnant women and young children. Methods Five safety net dental practices participated in a 15-month learning collaborative utilizing business assessments, QI training, early childhood oral health training, and prenatal oral health training. Practices collected monthly data on: net revenue, no-show rates, total encounters, and number of encounters for young children and pregnant women...
November 22, 2017: Maternal and Child Health Journal
https://www.readbyqxmd.com/read/29168042/impact-of-receiving-secondary-results-from-genomic-research-a-12-month-longitudinal-study
#6
Julia Wynn, Josue Martinez, Jessica Bulafka, Jimmy Duong, Yuan Zhang, Codruta Chiuzan, Jain Preti, Maria L Cremona, Vaidehi Jobanputra, Abby J Fyer, Robert L Klitzman, Paul S Appelbaum, Wendy K Chung
The impact of returning secondary results from exome sequencing (ES) on patients/participants is important to understand as ES is increasingly utilized in clinical care and research. Participants were recruited from studies using ES and were separated into two arms: 107 who had ES and were offered the choice to learn secondary results (ES group) and 85 who had not yet had ES (No ES group). Questionnaires were administered at baseline and 1 and 12 months, following results disclosure (ES group) or enrollment (No ES group)...
November 22, 2017: Journal of Genetic Counseling
https://www.readbyqxmd.com/read/29167591/identifying-hiv-associated-neurocognitive-disorder-using-large-scale-granger-causality-analysis-on-resting-state-functional-mri
#7
Adora M DSouza, Anas Z Abidin, Lutz Leistritz, Axel Wismüller
We investigate the applicability of large-scale Granger Causality (lsGC) for extracting a measure of multivariate information flow between pairs of regional brain activities from resting-state functional MRI (fMRI) and test the effectiveness of these measures for predicting a disease state. Such pairwise multivariate measures of interaction provide high-dimensional representations of connectivity profiles for each subject and are used in a machine learning task to distinguish between healthy controls and individuals presenting with symptoms of HIV Associated Neurocognitive Disorder (HAND)...
February 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/29167570/different-protein-protein-interface-patterns-predicted-by-different-machine-learning-methods
#8
Wei Wang, Yongxiao Yang, Jianxin Yin, Xinqi Gong
Different types of protein-protein interactions make different protein-protein interface patterns. Different machine learning methods are suitable to deal with different types of data. Then, is it the same situation that different interface patterns are preferred for prediction by different machine learning methods? Here, four different machine learning methods were employed to predict protein-protein interface residue pairs on different interface patterns. The performances of the methods for different types of proteins are different, which suggest that different machine learning methods tend to predict different protein-protein interface patterns...
November 22, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29167089/predicting-unplanned-transfers-to-the-intensive-care-unit-a-machine-learning-approach-leveraging-diverse-clinical-elements
#9
Ben Wellner, Joan Grand, Elizabeth Canzone, Matt Coarr, Patrick W Brady, Jeffrey Simmons, Eric Kirkendall, Nathan Dean, Monica Kleinman, Peter Sylvester
BACKGROUND: Early warning scores aid in the detection of pediatric clinical deteriorations but include limited data inputs, rarely include data trends over time, and have limited validation. OBJECTIVE: Machine learning methods that make use of large numbers of predictor variables are now commonplace. This work examines how different types of predictor variables derived from the electronic health record affect the performance of predicting unplanned transfers to the intensive care unit (ICU) at three large children's hospitals...
November 22, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29166902/a-national-stakeholder-consensus-study-of-challenges-and-priorities-for-clinical-learning-environments-in-postgraduate-medical-education
#10
Caroline Kilty, Anel Wiese, Colm Bergin, Patrick Flood, Na Fu, Mary Horgan, Agnes Higgins, Bridget Maher, Grainne O'Kane, Lucia Prihodova, Dubhfeasa Slattery, Slavi Stoyanov, Deirdre Bennett
BACKGROUND: High quality clinical learning environments (CLE) are critical to postgraduate medical education (PGME). The understaffed and overcrowded environments in which many residents work present a significant challenge to learning. The purpose of this study was to develop a national expert group consensus amongst stakeholders in PGME to; (i) identify important barriers and facilitators of learning in CLEs and (ii) indicate priority areas for improvement. Our objective was to provide information to focus efforts to provide high quality CLEs...
November 22, 2017: BMC Medical Education
https://www.readbyqxmd.com/read/29166858/adage-signature-analysis-differential-expression-analysis-with-data-defined-gene-sets
#11
Jie Tan, Matthew Huyck, Dongbo Hu, René A Zelaya, Deborah A Hogan, Casey S Greene
BACKGROUND: Gene set enrichment analysis and overrepresentation analyses are commonly used methods to determine the biological processes affected by a differential expression experiment. This approach requires biologically relevant gene sets, which are currently curated manually, limiting their availability and accuracy in many organisms without extensively curated resources. New feature learning approaches can now be paired with existing data collections to directly extract functional gene sets from big data...
November 22, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/29166301/can-we-train-machine-learning-methods-to-outperform-the-high-dimensional-propensity-score-algorithm
#12
Mohammad Ehsanul Karim, Menglan Pang, Robert W Platt
The use of retrospective healthcare claims datasets is frequently criticized for the lack of complete information on potential confounders. Utilizing patient's health status-related information from claims datasets as surrogates or proxies for mismeasured and unobserved confounders, the high-dimensional propensity score algorithm enables us to reduce bias. Using a previously published cohort study of post-myocardial infarction statin use (1998 - 2012), we compare the performance of the algorithm with a number of popular machine learning approaches for confounder selection in high-dimensional covariate spaces: random forest, least absolute shrinkage and selection operator, and elastic net...
November 18, 2017: Epidemiology
https://www.readbyqxmd.com/read/29165401/systematic-overview-of-bacopa-monnieri-l-wettst-dominant-poly-herbal-formulas-in-children-and-adolescents
#13
REVIEW
James D Kean, Luke A Downey, Con Stough
Background: The Ayurvedic medicinal system employs a holistic approach to health, utilising the synergistic properties of organic resources. Research into the Ayurvedic herb Bacopa monnieri (L.) Wettst. (B.monnieri) has reported improvements in cognitive outcomes in child and adult populations. The aim of current review is to systematically assess and critically summarize clinical trials investigating B.monnieri-dominant poly-herbal formulas and their effects on the cognition, memory, learning, and behaviour in children and adolescents...
November 22, 2017: Medicines (Basel, Switzerland)
https://www.readbyqxmd.com/read/29165314/towards-natural-mimetics-of-metformin-and-rapamycin
#14
Alexander Aliper, Leslie Jellen, Franco Cortese, Artem Artemov, Darla Karpinsky-Semper, Alexey Moskalev, Andrew G Swick, Alex Zhavoronkov
Aging is now at the forefront of major challenges faced globally, creating an immediate need for safe, widescale interventions to reduce the burden of chronic disease and extend human healthspan. Metformin and rapamycin are two FDA-approved mTOR inhibitors proposed for this purpose, exhibiting significant anti-cancer and anti-aging properties beyond their current clinical applications. However, each faces issues with approval for off-label, prophylactic use due to adverse effects. Here, we initiate an effort to identify nutraceuticals-safer, naturally-occurring compounds-that mimic the anti-aging effects of metformin and rapamycin without adverse effects...
November 15, 2017: Aging
https://www.readbyqxmd.com/read/29165085/a-speech-recognition-based-solution-for-the-automatic-detection-of-mild-cognitive-impairment-from-spontaneous-speech
#15
Laszlo Toth, Ildiko Hoffmann, Gabor Gosztolya, Veronika Vincze, Greta Szatloczki, Zoltan Banreti, Magdolna Pakaski, Janos Kalman
BACKGROUND: Even today the reliable diagnosis of the prodromal stages of Alzheimer's disease (AD) remains a great challenge. Our research focuses on the earliest detectable indicators of cognitive decline in mild cognitive impairment (MCI). Since the presence of language impairment has been reported even in the mild stage of AD, the aim of this study is to develop a sensitive neuropsychological screening method which is based on the analysis of spontaneous speech production during performing a memory task...
November 20, 2017: Current Alzheimer Research
https://www.readbyqxmd.com/read/29165084/advances-on-automatic-speech-analysis-for-early-detection-of-alzheimer-disease-a-non-linear-multi-task-approach
#16
K Lopez-de-Ipina, U Martinez-de-Lizarduy, P M Calvo, Jiri Mekyska, B Beitia, N Barroso, A Estanga, M Tainta, M Ecay-Torres
Nowadays proper detection of cognitive impairment has become a challenge for the scientific community. Alzheimer's Disease (AD), the most common cause of dementia, has a high prevalence that is increasing at a fast pace towards epidemic level. In the not-so-distant future this fact could have a dramatic social and economic impact. In this scenario, an early and accurate diagnosis of AD could help to decrease its effects on patients, relatives and society. Over the last decades there have been useful advances not only in classic assessment techniques, but also in novel non-invasive screening methodologies...
November 20, 2017: Current Alzheimer Research
https://www.readbyqxmd.com/read/29165067/optimized-virtual-screening-workflow-towards-target-based-polynomial-scoring-functions-for-hiv-1-protease
#17
Val Oliveira Pintro, Walter F Azevedo
BACKGROUND: One key step in the development of inhibitors for an enzyme is the application of computational methodologies to predict protein-ligand interactions. The abundance of structural and ligand-binding information for HIV-1 protease opens up the possibility to apply computational methods to develop scoring functions targeted to this enzyme. OBJECTIVE: Our goal here is to develop an integrated molecular docking approach to investigate protein-ligand interactions with focus on the HIV-1 protease...
November 20, 2017: Combinatorial Chemistry & High Throughput Screening
https://www.readbyqxmd.com/read/29165015/lessons-learned-from-volar-plate-fixation-of-scaphoid-fracture-nonunions
#18
Seth D Dodds, John B Williams, Max Seiter, Clark Chen
Treating scaphoid nonunions presents difficulties particularly when there is bone loss, significant humpback deformity or avascular necrosis. We describe a new type of fixation with a volar scaphoid plate that adds to the methods of internal fixation that are available for the treatment of recalcitrant scaphoid nonunions. We will also discuss 'lessons learned' from a cases series. The case series includes 20 consecutive patients treated with volar buttress plating and a pedicled vascularized bone graft from the ipsilateral volar distal radius...
January 1, 2017: Journal of Hand Surgery, European Volume
https://www.readbyqxmd.com/read/29164646/b-factor-profile-prediction-for-rna-flexibility-using-support-vector-machines
#19
Ivantha Guruge, Ghazaleh Taherzadeh, Jian Zhan, Yaoqi Zhou, Yuedong Yang
Determining the flexibility of structured biomolecules is important for understanding their biological functions. One quantitative measurement of flexibility is the atomic Debye-Waller factor or temperature B-factor. Most existing studies are limited to temperature B-factors of proteins and their prediction. Only one method attempted to predict temperature B-factors of ribosomal RNA. Here, we developed and compared machine-learning techniques in prediction of temperature B-factors of RNAs. The best model based on Support Vector Machines yields Pearson's correction coefficient at 0...
November 21, 2017: Journal of Computational Chemistry
https://www.readbyqxmd.com/read/29164541/-the-application-of-information-and-communication-technology-ict-in-nursing-education
#20
Shwu-Fen Chiou, Hsiu-Chuan Su, Ean-Wen Huang
With the rapid development of information and communication technologies (ICT) in the 21st century, all walks of life have experienced disruptive changes, including the healthcare profession. Although nurses represent the largest number of professionals in medical institutions, it is doubtful whether nurses possess sufficient capabilities to face challenges in this era of rapid medical informatization. Currently, the courses necessary to cultivate information literacy in nursing students are insufficient in Taiwan, and traditional instruction methods are largely adopted as nursing teaching strategies...
December 2017: Hu Li za Zhi the Journal of Nursing
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