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Poster

Comparison of the effects of semaglutide on liver histology in patients with non-alcoholic steatohepatitis cirrhosis between machine learning model assessment and pathologist evaluation

AASLD 2022

Study Background


  • Liver biopsies evaluated by hepatopathologists are a key method for assessing treatment response in trials of non-alcoholic steatohepatitis (NASH).1,2 

    • Artificial intelligence has also shown promise in liver biopsy assessment.2



  • Identification and assessment of NASH components can be subject to inter- and intra-observer variability, especially for hepatocyte ballooning.3

  • This post hoc analysis aimed to assess the effect of semaglutide vs placebo on histological components of NASH as assessed by a pathologist and PathAI’s machine learning (ML) models.

    • The analysis used data from a randomized, double-blind, placebo-controlled phase 2 trial investigating once-weekly subcutaneous semaglutide 2.4 mg in patients with NASH and compensated cirrhosis.




References:

  1. NAFLD Research Center, University of California San Diego, La Jolla, CA, USA;

  2. Novo Nordisk A/S, Søborg, Denmark;

  3. PathAI, Inc., Boston, MA, USA;

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Authors

Loomba et al.