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Ish: AI in the Prediction of Hepatic Fibrosis Progression Using Non-Coding RNAs

1. <scp>CHB</scp> patients with <scp>rtA181T</scp>‐mutated <scp>HBV</scp> infection are associated with higher risk hepatocellular carcinoma due to increases in mutation rates of tumour suppressor genes

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4. Molecular and cellular mechanisms of liver fibrosis and its regression

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5. NIDM: network impulsive dynamics on multiplex biological network for disease-gene prediction

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6. Enhanced liver fibrosis test for the non-invasive diagnosis of fibrosis in patients with NAFLD: A systematic review and meta-analysis

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7. Predicting potential miRNA-disease associations by combining gradient boosting decision tree with logistic regression

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   ABIABI:AkademIndex/2026.other.065036

8. Application of Artificial Intelligence for the Diagnosis and Treatment of Liver Diseases

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   Sharh maqola20202 iqtibos

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9. Liver Fibrosis in Non-alcoholic Fatty Liver Disease: From Liver Biopsy to Non-invasive Biomarkers in Diagnosis and Treatment

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10. New Drugs for Hepatic Fibrosis

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11. Extracellular Vesicles as Delivery Vehicles for Non-Coding RNAs: Potential Biomarkers for Chronic Liver Diseases

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12. Analysis of Immune and Inflammatory Microenvironment Characteristics of Noncancer End-Stage Liver Disease

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13. Graveoline attenuates D-GalN/LPS-induced acute liver injury via inhibition of JAK1/STAT3 signaling pathway

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14. A Simple Noninvasive Index Can Predict Both Significant Fibrosis and Cirrhosis in Patients With Chronic Hepatitis C

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15. LncRNA: Shedding light on mechanisms and opportunities in fibrosis and aging

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16. Role of miRNA and lncRNAs in organ fibrosis and aging

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17. Sarlavhasiz

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18. Dynamic role of exosomal long non-coding RNA in liver diseases: pathogenesis and diagnostic aspects

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19. From classical approaches to artificial intelligence, old and new tools for PDAC risk stratification and prediction

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20. Sarlavhasiz

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22. Sarlavhasiz

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23. Sarlavhasiz

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24. Sarlavhasiz

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25. Sarlavhasiz

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