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Decoding Immuno-Competence: A Novel Analysis of Complete Blood Cell Count Data in COVID-19 Outcomes.

Prakasha KempaiahClaudia R LibertinRohit A ChitaleIslam NaeymaVasili PleqiJohnathan Michael SheeleMichelle J IandiorioAlmira L HoogesteijnThomas R CaulfieldAriel L Rivas
Published in: Biomedicines (2024)
The hypothesis that immuno-competence expresses feedback-like loops when immunological data are structured was not rejected. This function seemed to be impaired in immuno-suppressed individuals. While this method rapidly informs, it is only a guide that, to be confirmed, requires additional tests. Despite this limitation, the fact that three protective (survival-associated) immunological data subsets were observed since day 1 supports many clinical decisions, including the early and personalized prognosis and identification of targets that immunomodulatory therapies could pursue. Because it extracts more information from the same data, structured data may replace the century-old format of the CBC.
Keyphrases
  • electronic health record
  • big data
  • coronavirus disease
  • adipose tissue
  • single cell
  • peripheral blood
  • data analysis
  • skeletal muscle
  • artificial intelligence
  • social media
  • insulin resistance