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Integration of Machine Learning-Based Histopathology and Hepatic Transcriptomic Data Identifies Genes Associated With Portal Inflammation and Ductular Proliferation as Predictors of Disease Progression in Advanced Fibrosis Due to NASH

AASLD 2020

Study Background

♦ Portal inflammation, ductular reaction, and fibrosis are associated with progressive nonalcoholic steatohepatitis (NASH)

♦ Machine learning (ML) approaches to assess NASH histology are potentially more sensitive and reproducible than standard, manual evaluation

♦ RNA-sequencing (RNA-Seq) efforts in NASH have identified genes associated with advanced fibrosis, but have not examined genomic changes in relation to histologic features of NASH such as portal inflammation and ductular reaction
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Pouryahya et al.