Mining liver rejection for archetypes: gold or pyrites?

Research output: Contribution to journalArticlepeer-review

Abstract

In biopsy diagnosis not everything seen is understood for what it means and uncertainty lurks when key features are sparse or signal different possibilities. Therefore, insights that recalibrate interpretation are welcome. These most usefully come from independent approaches—the rejection expression signature for late allograft interface hepatitis, 1 or serologic data informing histologic criteria for antibody-mediated rejection. 2 However, there is potential in mining histologic datasets for inherent feature patterns using unbiased data-driven algorithms. In the context of rejection, we expect to recapitulate known phenotypes, but new approaches might better delineate margins between entities, overlooked feature combinations, or poorly characterized conditions.
Original languageEnglish
Pages (from-to)892-893
JournalAmerican Journal of Transplantation
Volume24
Issue number6
DOIs
Publication statusPublished - 5 Feb 2024

Keywords / Materials (for Non-textual outputs)

  • liver
  • transplantation
  • pathology
  • rejection
  • allograft
  • archetypal analysis

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