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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. Satellite cell therapy – from mice to men

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

10. 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. Pharmacokinetics, pharmacodynamics, safety and tolerability of cilofexor, a novel nonsteroidal Farnesoid X receptor agonist, in healthy volunteers

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

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

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

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

20. 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

21. 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)

22. 艾比的螳螂.

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

24. 'It was never about me': A qualitative inquiry into the experiences of psychological support and perceived support needs of family caregivers of people with high-grade glioma.

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

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

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

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

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

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

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

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

44. Yoga Animals

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

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

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