Boston, Massachusetts – PathAI, a global leader of AI-powered technology applied to pathology, today announced new data showing AI-based assessment, including use of PathAI’s AIM-NASH tool, of key histological features of non-alcoholic steatohepatitis (NASH) following semaglutide treatment. These results will be shared in the poster presentation, “
In a joint research collaboration, Novo Nordisk A/S and PathAI compared manual and AI-based evaluation of liver biopsy samples from a phase 2 trial that measured the effect of different dosages of the glucagon-like peptide-1 receptor agonist semaglutide in patients with NASH. PathAI machine learning models were deployed to identify and quantify NASH histologic features and generate NASH Clinical Research Network (CRN) NAFLD Activity Scores and CRN fibrosis stages.
The results from this study indicated that via both manual and AI assessment, NASH resolution was dose dependent, with a higher proportion of patients receiving semaglutide 0.4mg achieving NASH resolution without fibrosis worsening, compared to patients receiving placebo.
AI assessment using categorical scoring showed a moderately higher proportion of patients achieving improvement in fibrosis stage with semaglutide 0.4mg compared with placebo. Notably, AI assessment using continuous scoring algorithms showed a statistically significant reduction in fibrosis with semaglutide 0.4 mg vs. placebo (p=0.0099).
AI- and pathologist-based assessments align in demonstrating a significant effect of semaglutide in reducing NASH disease severity as assessed by histology. Of particular note, this study shows that quantitative evaluation enabled by AI-based continuous scoring reveals significant reduction in fibrosis upon semaglutide treatment, highlighting the capability of AI-based assessment to provide additional clinically relevant insights into histological changes resulting from treatment.
PathAI is a leading provider of AI-powered research tools and services for pathology. PathAI’s platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine and deep learning. Based in Boston, PathAI works with leading life sciences companies and researchers to advance precision medicine. To learn more, visit pathai.com.