• Mashup Score: 60

    Media Advisory Nov. 1, 2021 Contact information Today’s update includes 2,857 newly reported cases and 7,597 reinfection cases recorded since the start of the pandemic for a total of 10,454 As part of the data updates announced last Wednesday, the Minnesota Department of Health (MDH) today is adding the number of COVID-19 reinfections to the total shown under the Minnesota…

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    • RT @AliNouriPhD: 📌Minnesota is now counting reinfections: ~8,000 #SARS_CoV_2 reinfections since start of pandemic: https://t.co/cvJLlPYeIw…

  • Mashup Score: 0
    Wolters Kluwer Health - 2 year(s) ago

    JavaScript Error JavaScript has been disabled on your browser. You must enable it to continue. Here’s how to enable JavaScript in the following browsers: Internet Explorer From the Tools menu, select Options Click the Content tab Select Enable…

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    • Directly from the editor on @MattSpinelliMD's work: This well conducted study helps clarify the risk for more severe #COVID among #PWH. Srsly, read on: https://t.co/3DUgfzaoLQ

    • In our current issue @mattspinellimd wrote the research letter which received the editor's recommendation. Everyone is reading it so should you be: #SARS_CoV_2 incidence, testing rates, and severe #COVID19 outcomes among #pwh and without #HIV https://t.co/3DUgfzaoLQ

  • Mashup Score: 9

    Durable protection against COVID-19 infection may be achieved by generating robust T cell responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and emerging SARS-CoV-2 variants; for those infected, effective treatments are urgently needed. For these strategies to be successful, accurate identification of T cell epitopes is critical. In this study, we used major…

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    • What can be done when you repurpose your lab to study #SARS_CoV_2 #COVID19, the NIH awards an R01 Supplemental (🙏@billtimmerPHD), and you've got two superstars in the lab, Ke Pan and Yulun Chiu? Perhaps this: https://t.co/TUQzI8Th6N. "Don't forget : Immunogenicity Rules!" 😁

  • Mashup Score: 1

    Background Intensive Care Resources are heavily utilized during the COVID-19 pandemic. However, risk stratification and prediction of SARS-CoV-2 patient clinical outcomes upon ICU admission remain inadequate. This study aimed to develop a machine learning model, based on retrospective & prospective clinical data, to stratify patient risk and predict ICU survival and outcomes. Methods A…

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    • #CritCare #OA A #machine_learning model to predict #clinical_risks, #ICU survival and outcomes of #COVID19 patients https://t.co/fiIHTvxx6N #FOAMed #FOAMcc #BMC @ISICEM @jlvincen #prognosis #ARDS #respiratory_failure #infection #pandemics #Sars_CoV_2 https://t.co/N2xPND1apx