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3. T.12.2: THE LEVELS OF AFP, PIVKA-II AND GPC-3 SERUM BIOMARKERS AT DIAGNOSIS CORRELATE WITH HCC CLINICAL-PATHOLOGICAL FEATURES AND WITH OVERALL SURVIVAL

4. Artificial Intelligence and liver: Opportunities and barriers

5. Characterization of Metal Centers in Zeolites for Partial Oxidation Reactions

6. The application of artificial intelligence in hepatology: A systematic review

12. Cancer cells and tumor vasculature dynamics analyzed by bio-mathematical modeling in HCC patients with different response to TKIs, TACE and TARE

15. Mathematical modeling of cancer cells and vasculature dynamics with serological and imaging biomarkers suggests synergistic effects of TACE and TKIs in HCC patients

23. OC.04.9 A SINGLE CENTER, LARGE LONG TERM COHORT STUDY OF THE RELATIONS BETWEEN MUTATIONS IN BASIC-CORE-PROMOTER AND PRE-C REGIONS OF HEPATITIS B VIRUS DNA AND CLINICPATHOLOGIC OUTCOME OF HBEAG-NEGATIVE/ANTI-HBEPOSITIVE PHASE

25. AF.84 BIOIMAGING, BIOCHEMICAL AND GENETIC MARKERS TO STRATIFY PATIENTS WITH METABOLIC ASSOCIATED FATTY LIVER DISEASE (MAFLD) IN CLINICAL PRACTICE: A SINGLE CENTER COHORT STUDY

26. AF.96 MODELING HEPATOCELLULAR CARCINOMA CELLS DYNAMICS BY SEROLOGICAL AND IMAGING BIOMARKERS TO EXPLAIN COMPLETE RESPONSE TO SORAFENIB

27. The case for simplifying and using absolute targets for viral hepatitis elimination goals

28. The case for simplifying and using absolute targets for viral hepatitis elimination goals.

33. Predicting response to peginterferon -2a, lamivudine and the two combined for HBeAg-negative chronic hepatitis

35. Modeling hepatocellular carcinoma cells dynamics by serolo-gical and imaging biomarkers in patients with response to sorafenib and/or regorafenib

37. A single center, large long-term cohort study of the relations between mutations in Basic-Core-Promoter and pre-C regions of Hepatitis B virus DNA and clinic-pathologic outcome of HBeAg-negative/anti-HBe-positive phase

40. Enzootic calcinosis of sheep in Uruguay.

44. T06.01.10 DATA DRIVEN MODEL OF NEOPLASTIC CELLS DYNAMICS BY CIRCULATING AND IMAGING BIOMARKERS OF HEPATOCELLULAR CARCINOMA: A PROMISING TOOL FOR INDIVIDUALIZED THERAPY

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