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

2. SAT-438 Utility of SomaSignalTM panels for drug response and monitoring disease progression in patients with advanced fibrosis due to non-alcoholic steatohepatitis

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

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

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

6. Multi stain graph fusion for multimodal integration in pathology

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

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

9. Performance of non-invasive tests and histology for the prediction of clinical outcomes in patients with non-alcoholic fatty liver disease: an individual participant data meta-analysis

11. Plasma eicosanoids as noninvasive biomarkers of liver fibrosis in patients with nonalcoholic steatohepatitis.

12. NAFLD and NASH biomarker qualification in the LITMUS consortium – Lessons learned

13. FRI-195 Genetically determined circulating protein biomarkers and risk of advanced fibrosis

14. THU-215 Artificial intelligence-derived granular histological markers of fibrosis from hematoxylin and eosin-stained whole slide images associate with non-invasive tests of fibrosis and prognosis to cirrhosis in patients with metabolic dysfunction-associated steatohepatitis

15. TOP-264 Paired assessment of enhanced liver fibrosis (ELF) and fibrosis-4 (FIB-4) scores is associated with an elevated risk of liver-related clinical events in participants with advanced fibrosis due to metabolic dysfunction-associated steatohepatitis (MASH)

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

17. Safety and efficacy of combination therapy with semaglutide, cilofexor and firsocostat in patients with non-alcoholic steatohepatitis: A randomised, open-label phase II trial

21. Utility of SomaSignalTM panels for drug response and monitoring disease progression in patients with advanced fibrosis due to non-alcoholic steatohepatitis

22. Use of antidiabetic and lipid-lowering medications associated with lower scores of liver fibrosis biomarkers in non-alcoholic steatohepatitis (NASH) patients

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

24. Machine learning algorithm improves the detection of NASH (NAS-based) and at-risk NASH: A development and validation study

30. NAFLD and NASH biomarker qualification in the LITMUS consortium – Lessons learned

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

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

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

35. Machine learned histological fibrosis score empowers characterization of baseline gene signatures associated with fibrosis progression or regression in a NASH F3/F4 clinical trial

36. 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)

37. Machine learning encoding of liver biopsy images enables prediction of molecular measurements in a NASH F3/F4 fibrosis clinical cohort

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

39. Metabolic reprogramming of the intestinal microbiome with functional bile acid changes underlie the development of NAFLD

40. Multi stain graph fusion for multimodal integration in pathology

43. Performance of non-invasive tests and histology for the prediction of clinical outcomes in patients with non-alcoholic fatty liver disease: an individual participant data meta-analysis

46. Semi‐Mechanistic PK/PD Modeling and Simulation of Irreversible BTK Inhibition to Support Dose Selection of Tirabrutinib in Subjects with RA

47. Peptide-based urinary monitoring of fibrotic nonalcoholic steatohepatitis by mass-barcoded activity-based sensors

50. Supplemental_Data – Supplemental material for Plasma eicosanoids as noninvasive biomarkers of liver fibrosis in patients with nonalcoholic steatohepatitis

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