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  1. 1761
    “…Mobile sensing technology and health systems responsive to individual profiles combined with cloud computing can expand innovation for new types of interoperable services that are consumer-oriented and community-based. …”
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    Technology-Based Innovations to Foster Personalized Healthy Lifestyles and Well-Being: A Targeted Review
  2. 1762
    “…METHODS: As there is no publicly available data for infection cluster rates, we based our analysis on anonymized real-world retrospective data spanning 18 months (November 2016 to June 2018) from two US-based academic tertiary hospitals with a combined total of about 1,700 beds, then normalized to 800 beds. A cloud-computing platform (Philips IntelliSpace Epidemiology) was used for whole-genome sequence analysis and cluster identification. …”
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    2450. A data-driven model of the economic burden of healthcare-associated infections as impacted by use of comprehensive genomic analysis of bacteria
  3. 1763
    “…Finally, we discuss our continued effort in integrating NDN with cloud computing platforms, such as the Pacific Research Platform (PRP). …”
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    Named Data Networking for Genomics Data Management and Integrated Workflows
  4. 1764
    “…CONCLUSIONS: Our interactive and efficient software tools will make analyses of Nanopore data using GPU and cloud computing accessible to biomedical and clinical scientists, thus facilitating the adoption of cost effective, fast, portable and real-time long-read sequencing. …”
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    A graphical, interactive and GPU-enabled workflow to process long-read sequencing data
  5. 1765
    “…They show how RGMQL can easily scale up from local to parallel and cloud computing while it combines and analyzes heterogeneous omics data from local or remote datasets, both public and private, in a completely transparent way to the user. …”
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    RGMQL: scalable and interoperable computing of heterogeneous omics big data and metadata in R/Bioconductor
  6. 1766
    “…A Medly voice app prototype was built using a software development kit in tandem with a cloud computing platform and was verified and validated before the usability study. …”
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    Design of a Patient Voice App Experience for Heart Failure Management: Usability Study
  7. 1767
    “…METHODS: This is a retrospective and prospective, multicenter, observational registry developed in collaboration with the Italian GLUT1-DS association and based on an innovative, flexible and configurable cloud computing technology platform, structured according to the most rigorous requirements for the management of patient’s sensitive data. …”
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    GLUT1-DS Italian registry: past, present, and future: a useful tool for rare disorders
  8. 1768
    “…Smart healthcare utilises a new generation of information technologies, such as the Internet of Things (loT), big data, cloud computing, and artificial intelligence, to completely transform the traditional medical system. …”
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    Predicting medical device failure: a promise to reduce healthcare facilities cost through smart healthcare management
  9. 1769
    “…The DiaFit iOS app was developed in Swift (version 2.2) with a Web back-end deployed on the Health Insurance Portability and Accountability Act compliant-ready Amazon Web Services cloud computing platform. DiaFit is publicly available on GitHub to the diabetes community at large, under the GNU General Public License agreement. …”
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    DiaFit: The Development of a Smart App for Patients with Type 2 Diabetes and Obesity
  10. 1770
    por Boudry, Christophe
    Publicado 2015
    “…Word frequency analysis reveals “blog” as the most recurrent, followed by “wiki”, “Web 2.0”, ”social media”, “Facebook”, “social networks”, “blogger”, “cloud computing”, “Twitter”, and “blogging”. All categories of Web 2.0 applications were found, indicating the successful integration of Web 2.0 into the biomedical field. …”
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    Web 2.0 Applications in Medicine: Trends and Topics in the Literature
  11. 1771
    “…We used the Thermo Fisher Cloud computing platform to compare the levels of microRNAs in the OT group in relation to the other study groups. …”
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    Differential microRNA Profile in Operational Tolerance: A Potential Role in Favoring Cell Survival
  12. 1772
    “…METHODS: Geolocated Twitter posts from 2015 were collected using the Twitter public application programming interface in combination with cloud computing services on Amazon Web Services. Posts were filtered for tobacco products and behavior-related keywords. …”
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    Campus Smoking Policies and Smoking-Related Twitter Posts Originating From California Public Universities: Retrospective Study
  13. 1773
    “…The DigitalOcean offers a high-performance and stable cloud computing platform for ARVPredictor. This mobile app is enlisted in the Google Play Store as an “ARVPredictor” and the source code is available under MIT permissive license at a GitHub repository. …”
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    An Android-Based Mobile App (ARVPredictor) for the Detection of HIV Drug-Resistance Mutations and Treatment at the Point of Care: Development Study
  14. 1774
    por Kuśmirek, Wiktor, Nowak, Robert
    Publicado 2022
    “…However, independent normalization of each sequencing region is a computationally expensive process, therefore our pipeline is customized and can be easily run in the cloud computing environment, on the computer cluster, or the single CPU server. …”
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    CNVind: an open source cloud-based pipeline for rare CNVs detection in whole exome sequencing data based on the depth of coverage
  15. 1775
    “…A Cloud Access Security Broker (CASB) is a security enforcement point or cloud-based software that is placed between cloud service users and cloud applications of cloud computing (CC) which is used to run the dimensionality, heterogeneity, and ambiguity correlated with cloud services. …”
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    RSM analysis based cloud access security broker: a systematic literature review
  16. 1776
    “…To allow long-term and cross-system reproducibility, Apps have public source code and are compiled and run in Docker containers that form the basis of a serverless cloud computing system. To support reproducible science and help contributors document and benefit from their efforts, workflows of Apps can be shared, published and archived with DOIs in the Movebank Data Repository. …”
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    MoveApps: a serverless no-code analysis platform for animal tracking data
  17. 1777
    “…The material foundation includes perceptions, storage, computing, networks, and other equipment, and the technical support includes cloud computing, mobile Internet, the Internet of Things, artificial intelligence, and deep learning. …”
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    Big data-driven intelligent governance of college students' physical health: System and strategy
  18. 1778
    “…Identifying code efficiencies reduced a single model runtime from ~100 seconds to 28 seconds. The use of cloud computing reduced simulation runtime from ~20 hours to 15 minutes. …”
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    Model Input and Optimization: Improving the Speed and Accuracy of Our COVID-19 Hospitalization Forecasts
  19. 1779
    “…BACKGROUND: Acute stroke care demands fast procedures performed through the collaboration of multiple professionals across multiple organizations. Cloud computing and the wide adoption of electronic medical records (EMRs) enable health care systems to improve data availability and facilitate sharing among professionals. …”
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    Perceptions of a Secure Cloud-Based Solution for Data Sharing During Acute Stroke Care: Qualitative Interview Study
  20. 1780
    “…Moreover, the majority of healthcare applications with cloud computing use centralization transmission process of various and vast volumes of information what make the privacy and security of personal patient’s data easy for hacking. …”
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    IoMT-fog-cloud based architecture for Covid-19 detection
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