Arwa F. Flemban

Machine learning-based identification of targeted metabolomic biomarkers for early diagnosis and fibrosis-stage discrimination in metabolic dysfunction-associated steatotic liver disease

Background Metabolically dysfunction-associated steatotic liver disease (MASLD) is the most prevalent liver disease worldwide and is increasing in parallel with metabolic syndrome and obesity. In this exploratory, cross-sectional study, we analysed metabolic changes in the blood and urine of patients with early-stage M...