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Machine learning identifies novel blood protein predictors of penetrating and stricturing complications in newly diagnosed paediatric Crohn's disease.

Ryan C UngaroLiangyuan HuJiayi JiShikha NayarSubra KugathasanLee A DensonJeffrey S HyamsMarla C DubinskyBruce E SandsJudy H Cho
Published in: Alimentary pharmacology & therapeutics (2020)
We identified novel blood proteomic markers, distinct for B2 and B3, associated with progression of paediatric Crohn's disease.
Keyphrases
  • machine learning
  • newly diagnosed
  • intensive care unit
  • emergency department
  • genome wide
  • risk factors
  • gene expression
  • artificial intelligence
  • protein protein
  • amino acid
  • big data
  • binding protein
  • small molecule