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1. OS-029 Analytical and clinical validation of AIM-NASH: a digital pathology tool for artificial intelligence-based measurement of non-alcoholic steatohepatitis histology

2. Acetyl-CoA carboxylase inhibitor increases LDL-apoB production rate in NASH with cirrhosis: prevention by fenofibrate

3. Liver stiffness thresholds to predict disease progression and clinical outcomes in bridging fibrosis and cirrhosis

4. PRIMIS: design of a pivotal, randomized, phase 3 study evaluating the safety and efficacy of the nonsteroidal farnesoid X receptor agonist cilofexor in noncirrhotic patients with primary sclerosing cholangitis

5. IL‐31 levels correlate with pruritus in patients with cholestatic and metabolic liver diseases and is farnesoid X receptor responsive in NASH

6. Fenofibrate Mitigates Hypertriglyceridemia in Nonalcoholic Steatohepatitis Patients Treated With Cilofexor/Firsocostat

7. Multi stain graph fusion for multimodal integration in pathology

8. Elevated de novo lipogenesis, slow liver triglyceride turnover, and clinical correlations in nonalcoholic steatohepatitis patients

9. A multiancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation

10. A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH.

11. A Fibrosis‐Independent Hepatic Transcriptomic Signature Identifies Drivers of Disease Progression in Primary Sclerosing Cholangitis

14. Methylation signatures in peripheral blood are associated with marked age acceleration and disease progression in patients with primary sclerosing cholangitis.

18. The Nonsteroidal Farnesoid X Receptor Agonist Cilofexor (GS‐9674) Improves Markers of Cholestasis and Liver Injury in Patients With Primary Sclerosing Cholangitis

19. Acetyl-CoA Carboxylase Inhibitor GS-0976 for 12 Weeks Reduces Hepatic De Novo Lipogenesis and Steatosis in Patients With Nonalcoholic Steatohepatitis

20. GS-0976 Reduces Hepatic Steatosis and Fibrosis Markers in Patients With Nonalcoholic Fatty Liver Disease

21. DNA methylation signatures reflect aging in patients with nonalcoholic steatohepatitis

24. Analytical and clinical validation of AIM-NASH: a digital pathology tool for artificial intelligence-based measurement of non-alcoholic steatohepatitis histology

25. AI-based histologic scoring enables automated and reproducible assessment of enrollment criteria and endpoints in NASH clinical trials

26. AI-based automation of enrollment criteria and endpoint assessment in clinical trials in liver diseases

29. En masse organoid phenotyping informs metabolic-associated genetic susceptibility to NASH

30. Liver Stiffness Thresholds to Predict Disease Progression and Clinical Outcomes in Bridging Fibrosis and Cirrhosis

31. Liver stiffness thresholds to predict disease progression and clinical outcomes in bridging fibrosis and cirrhosis

32. IL‐31 levels correlate with pruritus in patients with cholestatic and metabolic liver diseases and is farnesoid X receptor responsive in NASH

33. Safety and efficacy of the farnesoid X receptor (FXR) agonist cilofexor in a proof-of-concept study in patients with compensated cirrhosis due to primary sclerosing cholangitis (PSC)

34. Associations between novel serum biomarkers chitinase-2-like protein (YKL-40), type IV collagen, and thrombospondin-2 (TSP-2) with fibrosis stage and clinical outcomes in patients with primary sclerosing cholangitis (PSC)

35. The MRI and AST (MAST) score is correlated with noninvasive and histologic markers of fibrosis in patients with advanced fibrosis due to NASH

36. Machine learning-enabled continuous scoring of histologic features facilitates prediction of clinical disease progression in patients with non-alcoholic steatohepatitis

38. Multi stain graph fusion for multimodal integration in pathology

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43. Cirrhosis regression is associated with improved clinical outcomes in patients with nonalcoholic steatohepatitis

46. A Machine Learning Approach to Liver Histological Evaluation Predicts Clinically Significant Portal Hypertension in NASH Cirrhosis

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