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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 Progressio

♦ 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 Pouryahya et al.
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