Identifying immunological and clinical predictors of covid-19 severity and sequelae by mathematical modeling

HIGHLIGHTS

  • who: Noha M. Elemam from the Comenius University, Slovakia University of Genoa, Italy have published the Article: Identifying Immunological and Clinical Predictors of COVID-19 Severity and Sequelae by Mathematical Modeling, in the Journal: (JOURNAL)
  • what: In view of the multiple cytokines affecting the NK cells in the CS context and the elevation of IL-15 (NK stimulator), the effect of IL-6 is surpassed, with a net result of increased granzyme B. the model shows the high accuracy of liver injury prediction in severe COVID19, by combining IL-6 and granzyme B as predictors . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?