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  1. 3161
    “…CONCLUSION: QTM is a unique tool that aids in providing QTL information in machine-readable and semantically interoperable formats. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-018-2165-7) contains supplementary material, which is available to authorized users.…”
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    QTLTableMiner(++): semantic mining of QTL tables in scientific articles
  2. 3162
    “…A test protocol was provided based on results that no statistically significant difference was observed between using ultrasound gel and salt water for coupling, among different phantom locations, and that interoperator and intraoperator coefficient of variation was less than 3%. …”
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    Clinical acceptance testing and scanner comparison of ultrasound shear wave elastography
  3. 3163
    “…The sixth-generation system, but not the fifth-generation system, met accuracy criteria for interoperable CGM systems. Both systems had high real-world utilization rates (93.8% and 95.3% in the fifth- and sixth-generation systems, respectively). …”
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    Accuracy, Utilization, and Effectiveness Comparisons of Different Continuous Glucose Monitoring Systems
  4. 3164
    por Daniel, Christel, Kalra, Dipak
    Publicado 2019
    “…The third best paper reports the evaluation of an open source, interoperable, and scalable data quality assessment tool measuring completeness of data items, which can be run on different architectures (EHRs and Clinical Data Warehouses (CDWs) based on PCORnet or OMOP data models). …”
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    Clinical Research Informatics: Contributions from 2018
  5. 3165
    por Helliwell, John R.
    Publicado 2019
    “…The wider science data scene is celebrating the FAIR data accord, namely, that data be Findable, Accessible, Interoperable, and Reusable [Wilkinson et al., “Comment: The FAIR guiding principles for scientific data management and stewardship,” Sci. …”
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    FACT and FAIR with Big Data allows objectivity in science: The view of crystallography
  6. 3166
    “…The mechanism of strain FKM10 to control the phytopathogenic fungus Fusarium verticillioides was studied by interoperation with RNA sequencing. Strain FKM10 can destroy the cell wall and cell membrane of F. verticillioides. …”
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    Effects of Bacillus velezensis FKM10 for Promoting the Growth of Malus hupehensis Rehd. and Inhibiting Fusarium verticillioides
  7. 3167
    “…Our trajectory modelling approach reveals interpretable and interoperable markers of progression to AD and has strong potential to guide effective stratification of individuals based on prognostic disease trajectories, reducing MCI patient misclassification, that is critical for clinical practice and discovery of personalised interventions.…”
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    Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease
  8. 3168
    por Biondo, Monica V., Calado, Ricardo
    Publicado 2021
    “…To safeguard the collection of findable, accessible, interoperable, and reusable (FAIR) data, we suggest that the EU platform Trade Control and Expert System (TRACES) refines its surveillance on the trade of marine ornamental species. …”
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    The European Union Is Still Unable to Find Nemo and Dory-Time for a Reliable Traceability System for the Marine Aquarium Trade
  9. 3169
    “…The FAANG Data Portal (https://data.faang.org) ensures Findable, Accessible, Interoperable and Reusable (FAIR) open access to the wealth of sample, sequencing, and analysis data produced by an ever-growing number of FAANG consortia. …”
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    The FAANG Data Portal: Global, Open-Access, “FAIR”, and Richly Validated Genotype to Phenotype Data for High-Quality Functional Annotation of Animal Genomes
  10. 3170
    “…CONCLUSIONS: The platform described in this report resolves the challenges to the findable, accessible, interoperable, reusable stewardship of data and AI models by integrating with cloud storage to maintain user-centric governance over the data. …”
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    Browser-based Data Annotation, Active Learning, and Real-Time Distribution of Artificial Intelligence Models: From Tumor Tissue Microarrays to COVID-19 Radiology
  11. 3171
    “…The resulting information is neither interoperable nor easily reusable for other applications, such as clinical decision support systems and prescription alerts. …”
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    Multi-label classification of symptom terms from free-text bilingual adverse drug reaction reports using natural language processing
  12. 3172
    “… : The EU-funded X-eHealth project aims to lay the foundations for a common framework for medical imaging, discharge letters, laboratory results and rare diseases to advance an interoperable Common European Health Data Space for citizens and healthcare providers in accordance with privacy and cybersecurity regulations. …”
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    The development of new Electronic Health Record Exchange Format Use Cases - an evaluating perspective: Anja Stradner
  13. 3173
    “…This tool also enables the user to conduct and explore meta-analyses utilizing different experiments, therefore hopefully motivating the community to generate Findable, Accessible, Interoperable and Reusable (F.A.I.R.) data to be included in the future.…”
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    Transcriptomic and metabolomic integration as a resource in grapevine to study fruit metabolite quality traits
  14. 3174
    “…However, manual segmentation is time-consuming and has high interoperator variability. We present a multi-institutional deep learning-based method for automated brain extraction and segmentation of pediatric brain tumors based on multi-parametric MRI scans. …”
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    Automated tumor segmentation and brain tissue extraction from multiparametric MRI of pediatric brain tumors: A multi-institutional study
  15. 3175
    “…To bridge this gap, we used large-scale electronic health record (EHR) systems to develop the Phenome-wide Multi-Institutional Multimorbidity Explorer (PheMIME), which facilitates research in exploring and comparing multimorbidity patterns among multiple institutions, potentially leading to the discovery of novel and robust disease associations and patterns that are interoperable across different systems and organizations. …”
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    PheMIME: An Interactive Web App and Knowledge Base for Phenome-Wide, Multi-Institutional Multimorbidity Analysis
  16. 3176
    “…As a result, AIRR-seq studies at the NCBI are often described using inconsistent terminologies, limiting scientists’ ability to access, find, interoperate, and reuse the data sets. In order to improve metadata quality and ease submission of AIRR-seq studies to the NCBI, we have leveraged the software framework developed by the Center for Expanded Data Annotation and Retrieval (CEDAR), which develops technologies involving the use of data standards and ontologies to improve metadata quality. …”
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    The CAIRR Pipeline for Submitting Standards-Compliant B and T Cell Receptor Repertoire Sequencing Studies to the National Center for Biotechnology Information Repositories
  17. 3177
    “…RESULTS: We first observed that 80% of the surveyed physicians used the province-wide interoperable electronic health records (iEHR) system and 93% used a laboratory results viewer (LRV) to consult laboratory test results and most (72%) use both systems to retrieve lab results. …”
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    Advancing laboratory medicine in hospitals through health information exchange: a survey of specialist physicians in Canada
  18. 3178
    “…BACKGROUND: Unequivocal identification of patients is a precondition for a safe medical journey through different information systems (ISs) and software applications that are communicating and exchanging interoperable data. A master patient index (MPI) can facilitate this task. …”
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    Grand Duchy of Luxembourg: a case study of a national master patient index in production since five years
  19. 3179
    “…The software can deal with the open file formats JCAMP-DX (IR, MS, NMR) and mzML (MS) proposing these data file types to gain interoperable data. ChemSpectra can be extended to read also other formats as exemplified by selected proprietary mass spectrometry data files of type RAW and NMR spectra files of type FID. …”
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    ChemSpectra: a web-based spectra editor for analytical data
  20. 3180
    “…BACKGROUND: In times of exponential data growth in the life sciences, machine-supported approaches are becoming increasingly important and with them the need for FAIR (Findable, Accessible, Interoperable, Reusable) and eScience-compliant data and metadata standards. …”
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    Anatomy and the type concept in biology show that ontologies must be adapted to the diagnostic needs of research
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