Sentence examples for informatics resources from inspiring English sources

Exact(27)

Computerized cognitive rehabilitation (CCR) uses multimedia and informatics resources to optimize cognitive compromised performances.

An important aspect of the application of proteomics to the identification of disease biomarkers pertains to the substantial need for informatics resources.

The mission of the CISR is to provide the infrastructure for cancer center clinical trial management and provide informatics resources and services to the cancer research community.

This chapter is a review of the data and informatics resources available to the public, as well as a discourse on the power of integrating data modalities to understand and discover fundamental brain properties.

Though this is a task much more complex than the single-target strategy, major informatics resources and computational tools for the systemic approach of drug discovery are already set forth and their rapid progress forecasts promising outcomes for neuropharmacology.

But future study designs, as well as our investments in computational and methodological research, ought to be developed considering the computational and informatics resources we now have at hand.

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Similar(33)

Gutman, D. A. et al. Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology data.

Dr. Natarajan is the Co-Director of the Biomedical Informatics Resource in the CTSA and holds operational responsibilities overseeing some clinical applications at New York Presbyterian Hospital.

Upgrading from a traditional soil spatial database, consisting of a single GIS layer of polygons and basic attributes, to a modern soil information system has required significant informatics resourcing.

The formula and mass-based searches have been specifically designed to support non-targeted mass spectrometry research conducted within the EPA [123, 124] as well as to support global needs for this type of informatics resource.

The advancement of the computational biology field hinges on progress in three fundamental directions – the development of new computational algorithms, the availability of informatics resource management infrastructures and the capability of tools to interoperate and synergize.

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