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https://www.readbyqxmd.com/read/28737974/quality-improvement-in-the-era-of-big-data
#1
Michael J Hassett
No abstract text is available yet for this article.
July 24, 2017: Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology
https://www.readbyqxmd.com/read/28737733/a-secure-and-verifiable-outsourced-access-control-scheme-in-fog-cloud-computing
#2
Kai Fan, Junxiong Wang, Xin Wang, Hui Li, Yintang Yang
With the rapid development of big data and Internet of things (IOT), the number of networking devices and data volume are increasing dramatically. Fog computing, which extends cloud computing to the edge of the network can effectively solve the bottleneck problems of data transmission and data storage. However, security and privacy challenges are also arising in the fog-cloud computing environment. Ciphertext-policy attribute-based encryption (CP-ABE) can be adopted to realize data access control in fog-cloud computing systems...
July 24, 2017: Sensors
https://www.readbyqxmd.com/read/28737544/utilization-of-large-data-sets-in-maternal-health-in-finland-a-case-for-global-health-research
#3
Reeta Lamminpää, Mika Gissler, Katri Vehviläinen-Julkunen
In recent years, the use of large data sets, such as electronic health records, has increased. These large data sets are often referred to as "Big Data," which have various definitions. The purpose of this article was to summarize and review the utilization, strengths, and challenges of register data, which means a written record containing regular entries of items or details, and Big Data, especially in maternal nursing, using 4 examples of studies from the Finnish Medical Birth Register data and relate these to other international databases and data sets...
July 2017: Journal of Perinatal & Neonatal Nursing
https://www.readbyqxmd.com/read/28736658/3d-reconstruction-of-cystoscopy-videos-for-comprehensive-bladder-records
#4
Kristen L Lurie, Roland Angst, Dimitar V Zlatev, Joseph C Liao, Audrey K Ellerbee Bowden
White light endoscopy is widely used for diagnostic imaging of the interior of organs and body cavities, but the inability to correlate individual 2D images with 3D organ morphology limits its utility for quantitative or longitudinal studies of disease physiology or cancer surveillance. As a result, most endoscopy videos, which carry enormous data potential, are used only for real-time guidance and are discarded after collection. We present a computational method to reconstruct and visualize a 3D model of organs from an endoscopic video that captures the shape and surface appearance of the organ...
April 1, 2017: Biomedical Optics Express
https://www.readbyqxmd.com/read/28736473/theoretical-and-empirical-comparison-of-big-data-image-processing-with-apache-hadoop-and-sun-grid-engine
#5
Shunxing Bao, Frederick D Weitendorf, Andrew J Plassard, Yuankai Huo, Aniruddha Gokhale, Bennett A Landman
The field of big data is generally concerned with the scale of processing at which traditional computational paradigms break down. In medical imaging, traditional large scale processing uses a cluster computer that combines a group of workstation nodes into a functional unit that is controlled by a job scheduler. Typically, a shared-storage network file system (NFS) is used to host imaging data. However, data transfer from storage to processing nodes can saturate network bandwidth when data is frequently uploaded/retrieved from the NFS, e...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28736081/frizzled-7-mediates-tgf-%C3%AE-induced-pulmonary-fibrosis-by-transmitting-non-canonical-wnt-signaling
#6
Shuhong Guan, Jun Zhou
Pulmonary fibrosis is a progressive and often fatal lung disease characterized by fibroblast proliferation and excessive deposition of extracellular matrix. Both TGF-β and Wnt signaling have been implicated in the regulation of organ fibrosis. However little is known about whether TGF-β-induced gene expression changes in Wnt signaling pathway could predict disease progression. In the study, we investigated the interaction between TGF-β and Wnt signaling in mediating pulmonary fibrosis by big data analysis, in vitro and in vivo experimental studies and clinical data analysis...
July 20, 2017: Experimental Cell Research
https://www.readbyqxmd.com/read/28735616/research-techniques-made-simple-an-introduction-to%C3%A2-use-and-analysis-of-big-data-in-dermatology
#7
Mackenzie R Wehner, Katherine A Levandoski, Martin Kulldorff, Maryam M Asgari
Big data is a term used for any collection of datasets whose size and complexity exceeds the capabilities of traditional data processing applications. Big data repositories, including those for molecular, clinical, and epidemiology data, offer unprecedented research opportunities to help guide scientific advancement. Advantages of big data can include ease and low cost of collection, ability to approach prospectively and retrospectively, utility for hypothesis generation in addition to hypothesis testing, and the promise of precision medicine...
August 2017: Journal of Investigative Dermatology
https://www.readbyqxmd.com/read/28734897/exploiting-helminth-host-interactomes-through-big-data
#8
REVIEW
Javier Sotillo, Rafael Toledo, Jason Mulvenna, Alex Loukas
Helminths facilitate their parasitic existence through the production and secretion of different molecules, including proteins. Some helminth proteins can manipulate the host's immune system, a phenomenon that is now being exploited with a view to developing therapeutics for inflammatory diseases. In recent years, hundreds of helminth genomes have been sequenced, but as a community we are still taking baby steps when it comes to identifying proteins that govern host-helminth interactions. The information generated from genomic, immunomic, and proteomic studies, as well as from cutting-edge approaches such as proteogenomics, is leading to a substantial volume of big data that can be utilised to shed light on fundamental biology and provide solutions for the development of bioactive-molecule-based therapeutics...
July 19, 2017: Trends in Parasitology
https://www.readbyqxmd.com/read/28729568/nhs-dental-service-utilisation-and-social-deprivation-in-older-adults-in-north-west-england
#9
K W McKenzie, M Goodwin, I Pretty
Objective To explore NHS dental service utilisation (attendance and treatment activity) of older adults.Design Retrospective analysis of dental treatment claim forms (FP17s) over a 15 month period.Population A total of 690,433 older adults in North West England.Results NHS dental care attendance decreased with increasing age; 49% in 65-74 years, 39% in 75-84 years and 23% in the over 85 years age group. Across all older age stratifications, the more deprived patients had a higher rate of examinations, extractions, dentures and preventative advice compared to the least deprived patients...
July 21, 2017: British Dental Journal
https://www.readbyqxmd.com/read/28721807/developing-the-transdisciplinary-aging-research-agenda-new-developments-in-big-data
#10
Christian William Callaghan
In light of dramatic advances in big data analytics and the application of these advances in certain scientific fields, new potentialities exist for breakthroughs in aging research. Translating these new potentialities to research outcomes for aging populations, however, remains a challenge, as underlying technologies which have enabled exponential increases in 'big data' have not yet enabled a commensurate era of 'big knowledge,' or similarly exponential increases in biomedical breakthroughs. Debates also reveal differences in the literature, with some arguing big data analytics heralds a new era associated with the 'end of theory' or which makes the scientific method obsolete, where correlation supercedes causation, whereby science can advance without theory and hypotheses testing...
July 19, 2017: Current Aging Science
https://www.readbyqxmd.com/read/28720567/big-data-s-big-bias-bringing-noise-and-conflicts-to-us-drug-regulation
#11
Jeanne Lenzer
No abstract text is available yet for this article.
July 18, 2017: BMJ: British Medical Journal
https://www.readbyqxmd.com/read/28715407/building-the-biomedical-data-science-workforce
#12
Michelle C Dunn, Philip E Bourne
This article describes efforts at the National Institutes of Health (NIH) from 2013 to 2016 to train a national workforce in biomedical data science. We provide an analysis of the Big Data to Knowledge (BD2K) training program strengths and weaknesses with an eye toward future directions aimed at any funder and potential funding recipient worldwide. The focus is on extramurally funded programs that have a national or international impact rather than the training of NIH staff, which was addressed by the NIH's internal Data Science Workforce Development Center...
July 2017: PLoS Biology
https://www.readbyqxmd.com/read/28715190/chemical-topic-modeling-exploring-molecular-datasets-using-a-common-text-mining-approach
#13
Nadine Schneider, Nikolas Fechner, Gregory A Landrum, Nikolaus Stiefl
Big data is one of the key transformative factors which are increasingly influencing all aspects of modern life. Although this transformation brings vast opportunities it also generates novel challenges, not the least of which is organizing and searching this data deluge. The field of medicinal chemistry is not different: more and more data are being generated, for instance by technologies such as DNA encoded libraries, peptide libraries, text mining of large literature corpora, and new in silico enumeration methods...
July 17, 2017: Journal of Chemical Information and Modeling
https://www.readbyqxmd.com/read/28714201/encoding-random-hot-spots-of-a-volume-gold-nanorod-assembly-for-ultralow-energy-memory
#14
Qiaofeng Dai, Min Ouyang, Weiguang Yuan, Jinxiang Li, Banghong Guo, Sheng Lan, Songhao Liu, Qiming Zhang, Guang Lu, Shaolong Tie, Haidong Deng, Yi Xu, Min Gu
Data storage with ultrahigh density, ultralow energy, high security, and long lifetime is highly desirable in the 21st century and optical data storage is considered as the most promising way to meet the challenge of storing big data. Plasmonic coupling in regularly arranged metallic nanoparticles has demonstrated its superior properties in various applications due to the generation of hot spots. Here, the discovery of the polarization and spectrum sensitivity of random hot spots generated in a volume gold nanorod assembly is reported...
July 17, 2017: Advanced Materials
https://www.readbyqxmd.com/read/28711216/national-nursing-science-priorities-creating-a-shared-vision
#15
Patricia Eckardt, Joan M Culley, Elizabeth Corwin, Therese Richmond, Cynthia Dougherty, Rita H Pickler, Cheryl A Krause-Parello, Carol F Roye, Jessica G Rainbow, Holli A DeVon
BACKGROUND: Nursing science is essential to advance population health through contributions at all phases of scientific inquiry. Multiple scientific initiatives important to nursing science overlap in aims and population focus. PURPOSE: This article focused on providing the American Academy of Nursing and nurse scientists in the Unites States with a blueprint of nursing science priorities to inform a shared vision for future collaborations, areas of scientific inquiry, and resource allocation...
June 12, 2017: Nursing Outlook
https://www.readbyqxmd.com/read/28711146/drug-repositioning-strategies-for-the-identification-of-novel-therapies-for-rheumatic-autoimmune-inflammatory-diseases
#16
REVIEW
Amrie C Grammer, Peter E Lipsky
Rheumatic Autoimmune Inflammatory Diseases such as Sjögren's and lupus lack modern treatments. Less than 5% of drugs approved by the FDA from 2014 to mid-2016 had a RAID indication. Many RAID standard-of-care drugs were repurposed based on serendipitous observations, similarity-of-disease categorization, and/or off-target effects. Recently, drug repurposing has become more intentional, relying on an evolving awareness of molecular underpinnings, as well as a better understanding of drug-target interactions by computational modeling...
August 2017: Rheumatic Diseases Clinics of North America
https://www.readbyqxmd.com/read/28708026/visual-search-you-are-who-you-are-a-learning-curve
#17
Justin M Ericson, Dwight J Kravitz, Stephen R Mitroff
Not everyone is equally well suited for every endeavor-individuals differ in their strengths and weaknesses, which makes some people better at performing some tasks than others. As such, it might be possible to predict individuals' peak competence (i.e., ultimate level of success) on a given task based on their early performance in that task. The current study leveraged "big data" from the mobile game, Airport Scanner (Kedlin Company), to assess the possibility of predicting individuals' ultimate visual search competency using the minimum possible unit of data: response time on a single visual search trial...
January 1, 2017: Perception
https://www.readbyqxmd.com/read/28705865/with-great-power-comes-great-responsibility-big-data-research-from-the-national-inpatient-sample
#18
Rohan Khera, Harlan M Krumholz
No abstract text is available yet for this article.
July 2017: Circulation. Cardiovascular Quality and Outcomes
https://www.readbyqxmd.com/read/28704821/application-of-the-drugevar-database-in-cancer-genomics-and-pharmacogenomics
#19
Konstantinos Sarris, Angeliki Komianou, George P Patrinos, Theodora Katsila
In the post-genomic era, there is an increasing and urgent need for managing and visualizing big data. Data complexity and size will turn information growth into knowledge growth only if presented in a comprehensive and user-friendly way. In such a context, the information technology community collaborates in a multidisciplinary manner with other scientific fields searching for and/or developing tools and services for data management and visualization. We have previously developed DruGeVar, a comprehensive database that triangulates drugs with genes and pharmacogenomic biomarkers to serve clinical pharmacogenomics...
July 14, 2017: Public Health Genomics
https://www.readbyqxmd.com/read/28704407/variations-in-achievement-of-evidence-based-high-impact-quality-indicators-in-general-practice-an-observational-study
#20
Thomas A Willis, Robert West, Bruno Rushforth, Tim Stokes, Liz Glidewell, Paul Carder, Simon Faulkner, Robbie Foy
BACKGROUND: There are widely recognised variations in the delivery and outcomes of healthcare but an incomplete understanding of their causes. There is a growing interest in using routinely collected 'big data' in the evaluation of healthcare. We developed a set of evidence-based 'high impact' quality indicators (QIs) for primary care and examined variations in achievement of these indicators using routinely collected data in the United Kingdom (UK). METHODS: Cross-sectional analysis of routinely collected, electronic primary care data from a sample of general practices in West Yorkshire, UK (n = 89)...
2017: PloS One
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