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  1. 2521
    “…The CDSS is evaluated using data of the Data Integration Cent ers (DIC) established at each clinic. …”
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    Hospital-wide ELectronic medical record evaluated computerised decision support system to improve outcomes of Patients with staphylococcal bloodstream infection (HELP): study protocol for a multicentre stepped-wedge cluster randomised trial
  2. 2522
    “…CONCLUSIONS: This Bayesian omics-data fusion based methodology allows to gain a genome-wide picture of the transcriptional interplay, helping to unravel key hierarchical transcriptional interactions, which could be subsequently investigated, and it represents a promising learning approach suitable for multi-layered genomic data integration, given its robustness to noisy sources and its tailored framework for handling high dimensional data.…”
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    A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks
  3. 2523
    “…Clinical implications were developed for each persona by combing quantitative and qualitative data (integration phase). RESULTS: The quantitative phase showed that the 87 parent participants were segmented into three distinct patterns of adherence based on use of aerosolized medication and practice of airway clearance. …”
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    Data driven decision making to characterize clinical personas of parents of children with cystic fibrosis: a mixed methods study
  4. 2524
    “…RESULTS: In this work we offered a detailed description of our data-integrated computational infrastructure, tested its accuracy and robustness, quantified the uncertainty of its driving coefficients, and showed the role of tumor size and distance from bone on Rad223 efficacy. …”
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    An agent-based model of prostate Cancer bone metastasis progression and response to Radium223
  5. 2525
    “…In our study, we established a computational framework integrating multi-omics profiles analyses, including RNA sequencing (RNA-seq) and small RNA sequencing (sRNA-seq) data analysis, inverse expression pattern analysis, public data integration, and miRNA targets prediction to illustrate the miRNA-mediated regulatory network at different glucose concentrations in INS-1 pancreatic beta cells (INS-1), which display important characteristics of the pancreatic beta cells. …”
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    Multi-omics profiling reveals microRNA-mediated insulin signaling networks
  6. 2526
    “…Taken together, we have demonstrated a prediction workflow that can be used to perform multimodal data integration to improve the accuracy of the predicted mesoconnectome and support other neuroscience use cases. …”
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    Prediction of a Cell-Class-Specific Mouse Mesoconnectome Using Gene Expression Data
  7. 2527
    “…However, at present, there is little research on a unified interoperability framework in the health and fitness domain, and there are not many solutions; besides, the privatized treadmill data transmission scheme is not conducive to data integration and analysis. OBJECTIVE: This article will expand the IEEE 11073-PHD standard protocol family, develop standards for health and fitness device (using treadmill as an example) based on the latest version of the 11073-20601 optimized exchange protocol, and design protocol standards compliance testing process and inspection software, which can automatically detect whether the instantiated object of the treadmill meets the standard. …”
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    ISO/IEEE 11073 Treadmill Interoperability Framework and its Test Method: Design and Implementation
  8. 2528
    “…Here, we used big-data integration and large-scale analytics to examine a large dataset of preclinical efficacy tests combining five different blinded, fully counter-balanced treatment trials for different acute anti-inflammatory treatments for cervical spinal cord injury in rats. …”
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    Machine intelligence identifies soluble TNFa as a therapeutic target for spinal cord injury
  9. 2529
    “…Following identification of DEmiR-target genes and data integration, intersecting mRNAs were subjected to different bioinformatic analyses. …”
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    Comprehensive analysis of IgA nephropathy expression profiles: identification of potential biomarkers and therapeutic agents
  10. 2530
    “…CONCLUSIONS: Our time-based analysis indicates that network-assisted hypothesis generation shows promise for knowledge discovery, data integration and hypothesis generation in scientific research. …”
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    Extracting knowledge networks from plant scientific literature: potato tuber flesh color as an exemplary trait
  11. 2531
    “…We applied Bayesian data integration to determine which proteins are not only present in sporozoites but are also specific to that stage. …”
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    Novel insights from the Plasmodium falciparum sporozoite-specific proteome by probabilistic integration of 26 studies
  12. 2532
    “…In summary, internet access, user-friendliness, organizational support, workflow efficiency, and data integration were reported as important factors in the uptake of DHT by patients and clinicians. …”
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    Barriers and facilitators of the uptake of digital health technology in cardiovascular care: a systematic scoping review
  13. 2533
    por Wu, Lanlan, Liu, Fei, Cai, Hongmin
    Publicado 2021
    “…CONCLUSIONS: IOAT is a local desktop tool, which provides a set of multi-omics data integration solutions. It can quickly perform a complete analysis of cancer genome data for subtype discovery and biomarker identification without security issues and writing any code. …”
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    IOAT: an interactive tool for statistical analysis of omics data and clinical data
  14. 2534
    “…The operational approaches, e-technologies and sponsor/contract research organization’s (CRO) expertise together allow: the complexity and size of the BAML Master Trial to be better managed; near real-time study data oversight; better collaboration, communication and training; improved data collection, enhanced transmission and accessibility; data integration, review and generation of reports; while maintaining data privacy, and compliance. …”
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    Streamlined Operational Approaches and Use of e-Technologies in Clinical Trials: Beat Acute Myeloid Leukemia Master Trial
  15. 2535
    “…CONCLUSIONS: Our findings demonstrate that vertical data-integration of genetic and epigenetic regulatory mechanisms generated a more in-depth understanding of the molecular basis underlying the development of obesity-associated fatty liver disease. …”
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    A targeted multi-omics approach reveals paraoxonase-1 as a determinant of obesity-associated fatty liver disease
  16. 2536
    “…First, drug feature data integrated by drug target proteins and chemical structures were processed with dimension reduction via a deep autoencoder to characterize feature representations more densely and abstractly. …”
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    A drug repositioning algorithm based on a deep autoencoder and adaptive fusion
  17. 2537
    “…These standards will promote data integration from various -omics technologies and functional dissection of human complex traits. …”
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    Perspective of the GEMSTONE Consortium on Current and Future Approaches to Functional Validation for Skeletal Genetic Disease Using Cellular, Molecular and Animal-Modeling Techniques
  18. 2538
    “…METHODS: This study adopted a systems network pharmacology approach, including target identification, data integration, network and module construction, bioinformatics analysis, molecular docking, and molecular dynamics simulation. …”
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    Systematic Understanding of Anti-Aging Effect of Coenzyme Q10 on Oocyte Through a Network Pharmacology Approach
  19. 2539
    “…Data analysis adopts a synergistic approach to produce a multilayered analysis of individual HCPs and crosscutting analysis of the 15 health capabilities. The data integration strategy relies on a mixed-methods convergent core design, and will use 0–100 health capability scores as well as flow diagrams to measure and characterise levels of development and interactions among health capabilities, respectively. …”
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    Applying the health capability profile to empirically study chronic hepatitis B in rural Senegal: a social justice mixed-methods study protocol
  20. 2540
    “…RESULT: We collected enhancer datasets which include 28 human and 24 mouse tissues and cell lines, and RNA-seq datasets which are paired with the selected tissues. Combining with data integration and statistical analysis, we identified 3,242 human and 7,716 mouse genes which have significant enhancer-AS associations in at least one tissue. …”
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    Genome-wide identification of associations between enhancer and alternative splicing in human and mouse
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