[The Swecrit Biobank, associated clinical registries, and machine learning (artificial intelligence) improve critical care knowledge].

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  • Additional Information
    • Transliterated Title:
      Provsamlingen Swecrit och AI ger ny kunskap vid intensivvård.
    • Source:
      Publisher: Sveriges Lakarforbund Country of Publication: Sweden NLM ID: 0027707 Publication Model: Electronic Cited Medium: Internet ISSN: 1652-7518 (Electronic) Linking ISSN: 00237205 NLM ISO Abbreviation: Lakartidningen Subsets: MEDLINE
    • Publication Information:
      Original Publication: Stockholm : Sveriges Lakarforbund
    • Subject Terms:
      Artificial Intelligence* ; Biological Specimen Banks*; Humans ; Proteomics ; Machine Learning ; Critical Care ; Registries
    • Abstract:
      The unique Swecrit Biobank and its associated clinical registries for sepsis, ARDS, cardiac arrest, trauma, and COVID-19 include more than 150,000 blood samples and descriptions of critically ill patients. These assets provide a unique opportunity to research and improve the care of the most seriously ill patients through biomarker analyses, proteomic studies, and genetic and epigenetic studies using modern machine learning techniques (artificial intelligence). Interested researchers are invited to submit their proposals and participate.
    • Publication Date:
      Date Created: 20231017 Date Completed: 20231101 Latest Revision: 20231103
    • Publication Date:
      20240829
    • Accession Number:
      37846149