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CORE in the News

  • Data Sharing — A New Era for Research Funded by the U.S. Government

    In late January 2023, the new Data Management and Sharing (DMS) Policy of the National Institutes of Health (NIH), which requires researchers to share data that were generated with NIH support, went into effect. The potential effects of this shift in the clinical research enterprise toward data sharing are profound.

    Source: The New England Journal of Medicine
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  • Overdiagnosis and Preventative Screening: A Q&A With Ilana Richman

    In a Q&A, Ilana Richman, MD, MHS, assistant professor of medicine (general medicine), discusses why overdiagnosis is a concern, the challenges of assessing the benefit of new screening technologies, and the risks and benefits people should weigh when considering preventative screening.

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  • The Long History of Long COVID and Other Chronic Illnesses

    The term post-acute infection syndrome refers to chronic diseases that occur after an acute viral, bacterial, or parasitic infection, including chronic Lyme and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Yale School of Medicine is investigating the many questions surrounding post-acute infection syndromes in its new Center for Infection & Immunity.

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  • Marc Auerbach: Getting Emergency Departments Kid-Ready

    On Health & Veritas with Howard P. Forman and Harlan M. Krumholz, Howie and Harlan are joined by Marc Auerbach, a professor of pediatric emergency medicine at Yale, to discuss his work using standards and simulation to improve the treatment of children in emergency departments throughout the United States. Harlan reflects on the importance of simple, well-designed clinical trials to make rapid improvements to care; Howie reports on a congressional study asking whether the Centers for Medicare and Medicaid Innovation Center has succeeded in lowering costs and increasing quality.

    Source: Yale Insights
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  • Visualizing Publication Trends for Scientists

    Introducing ScholarTrends, an R Shiny application that produces seven interpretable graphics summarizing a scientist’s entire publication history. This tool adds transparency to a researcher’s trajectory and makes it more accessible to quickly understand a person’s publication trends.

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