We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Transforming Screening, Risk Stratification, and Treatment Optimization in Chronic Liver Disease Through Data Science and Translational Innovation.
- Authors
Addissouky, Tamer A.; Ali, Majeed M. A.; El Sayed, Ibrahim El Tantawy; Yuliang Wang
- Abstract
Background: Chronic liver diseases like hepatocellular carcinoma (HCC) and primary biliary cholangitis (PBC) continue to face challenges in prognosis, treatment optimization, and understanding of mechanisms. Innovations in data integration and analytics could address these gaps. This review synthesizes innovative research improving prediction, understanding, detection, treatment, and translation in chronic liver disease. Method: Multiple studies leveraged approaches like machine learning and genomics. MAPS-CRAFITY integrates clinical variables, imaging, and AFP to predict immunotherapy/TKI response in HCC. Transformer modeling of RFA data improves outcome prediction to guide management. Genome-wide association analysis revealed IL21R as a PBC susceptibility gene in Chinese cohorts. Quantifying childhood MAFLD informs screening needs. Supporting the use of G6PD-deficient liver donors enables transplantation access expansion through risk stratification. Updating Baveno criteria enhances PBC prognosis. An HCC prognostic score identifies optimal RFA candidates. Conclusion: Recent research leverages diverse data types, genetics, imaging, and machine learning to develop integrated predictive systems that allow more personalized therapy selection. Elucidating molecular pathways provides therapeutic targets and prognostic biomarkers. Evidence-based screening and risk models facilitate delivering tailored interventions. Optimization of current modalities through prognostic validation and patient selection improves real-world effectiveness. Multifaceted modern research approaches promise to address unmet needs and transform hepatology care.
- Subjects
LIVER diseases; MEDICAL screening; PROGNOSIS; CHRONIC diseases; DATA science
- Publication
Indonesian Journal of Gastroenterology, Hepatology & Digestive Endoscopy, 2024, Vol 25, Issue 1, p53
- ISSN
1411-4801
- Publication type
Article