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2. WED-198 Novel deep learning models utilising domain adaptation outperform conventional statistical models for predicting the risk of liver-related complications in patients with metabolic dysfunction-associated steatotic liver disease

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

7. Serum PRO-C3 is useful for risk prediction and fibrosis assessment in MAFLD with chronic kidney disease

8. Risk and predictors of hepatic decompensation in grey zone patients by the Baveno VII criteria: A competing risk analysis

12. A blood-based biomarker panel for non-invasive diagnosis of metabolic dysfunction-associated steatohepatitis.

14. Role of noninvasive tests in the prognostication of metabolic dysfunction-associated steatotic liver disease.

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