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3. Point-of-Care Noninvasive Prediction of Liver-Related Events in Patients With Nonalcoholic Fatty Liver Disease

6. acFibroMASH Index for the Diagnosis of Fibrotic MASH and Prediction of Liver-related Events: An International Multicenter Study

7. Baseline Viral Load and On-treatment Hepatocellular Carcinoma Risk in Chronic Hepatitis B: A Multinational Cohort Study

8. A machine learning model to predict liver-related outcomes after the functional cure of chronic hepatitis B

9. aMAP Score and Its Combination With Liver Stiffness Measurement Accurately Assess Liver Fibrosis in Chronic Hepatitis B Patients

16. Hepatocellular carcinoma risk in patients with chronic hepatitis B receiving tenofovir- vs. entecavir-based regimens: Individual patient data meta-analysis

20. Dynamic Changes in ELF Score Predict Hepatocellular Carcinoma in Chronic Hepatitis B Patients Receiving Antiviral Treatment.

21. Long-term liver-related outcomes and liver stiffness progression of statin usage in steatotic liver disease.

28. Chronic hepatitis B baseline viral load and on-treatment liver cancer risk: A multinational cohort study of HBeAg-positive patients.

37. CAMP‐B score predicts the risk of hepatocellular carcinoma in patients with chronic hepatitis B after HBsAg seroclearance.

38. Serum PRO‐C3 is useful for risk prediction and fibrosis assessment in MAFLD with chronic kidney disease in an Asian cohort.

39. Vibration-Controlled Transient Elastography Scores to Predict Liver-Related Events in Steatotic Liver Disease.

46. Machine‐learning model comprising five clinical indices and liver stiffness measurement can accurately identify MASLD‐related liver fibrosis.

47. Reply to Allaire, M.; Thabut, D. Comment on "Wu et al. Baveno VII Criteria Is an Accurate Risk Stratification Tool to Predict High-Risk Varices Requiring Intervention and Hepatic Events in Patients with Advanced Hepatocellular Carcinoma. Cancers 2023, 15 , 2480"

48. Glucagon-Like Peptide 1 Analogues as Adjunctive Therapy for Patients With Type 1 Diabetes: An Updated Systematic Review and Meta-analysis.

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