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“To keep hospitals safer, we need to look at many potential relationships between events.”

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How can doctors predict — and thus help prevent — when a patient is at increased risk of cardiac arrest while in the hospital? Does emergency room crowding affect care of patients on the hospital floor? What previously unknown links exist between weather events, staffing, patients’ lab values, outcomes, and other data, and how can this information be used to improve care?

The CRDW is an example of the kind of large, well-curated dataset that can make this advanced analysis possible. To learn more about how big data is making hospitals safer, read the interview with our director Sam Volchenboum in the Washington Post.

A ‘Netflix-like’ predictive model: Hospital systems could pinpoint which patients are most likely to code on their watch

Sam Volchenboum elected chair of AMIA bioinformatics group

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We are happy to announce that CRI Director Sam Volchenboum has been elected the next Chair of the Genomics and Translational Bioinformatics Working Group of the American Medical Informatics Association. This working group is dedicated to facilitating communication and collaboration between scientists to advance translational research and clinical care through the use of genomics data. Sam will lead the group in initiatives to increase data sharing, promote genomics data standards and interoperability, develop educational opportunities for clinicians, and more. Congratulations to Sam for this honor!


CRI bioinformatics resources highlighted by researchers working to treat zoonotic diseases

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A team of University of Chicago scientists is working to find ways to repurpose generic and over-the-counter drugs to treat zoonotic diseases, potentially making treatment for these infections more affordable and accessible worldwide. The CRI Bioinformatics Core’s resources and expertise allowed them to run fast, efficient analyses of the drugs’ effectiveness. Read about their work at the Institute for Translational Medicine.

Bioinformatics Core now offering proteomics analysis

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The CRI Bioinformatics Core has expanded its bioinformatics analysis services to include support for proteomics data. The new proteomics analysis pipeline includes raw MS data processing, deisotoping, data conversion, spectral filtering, spectral library creation, extracted ion chromatogram generation (MASIC), peptide and protein identification (X!Tandem, MaxQuant, Mascot, MSGF+), quantification (MaxQuant, Scaffold), targeted assay generation (Skyline), and dataset alignment and feature generation (MultiAlign). Additional proteomics services include profiling of post-translational modifications (phosphorylation, glycosylation, etc.), statistical analysis for labeled and label-free proteomics, and pathway enrichment analysis (Ingenuity Pathway Analysis).

CRI to contribute to New March of Dimes Prematurity Research Center

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This month, the March of Dimes Foundation announced a collaboration with the University of Chicago, Northwestern University Feinberg School of Medicine, and Duke Medicine to create a new March of Dimes Prematurity Research Center focused on determining the currently unknown factors causing premature birth.

Under the leadership of PI and Program Director Carole Ober, PhD, the University of Chicago Medicine will have the lead role in this project, to which March of Dimes will contribute $10 million over the next five years. The Center for Research Informatics will contribute bioinformatics and computing resources to this important research.

Read more about the center and the CRI’s contributions here.