CLSTN1 and metabolic dysfunction-associated steatohepatitis: Furthermore, a recent study employing a machine learning-based histopathology approach developed a 5-gene signature (JAG1, VIM, VWF, PDGFRA, and CLSTN1) that demonstrates strong predictive value for severe MASH (F3–F4 fibrosis) and clinical outcomes, highlighting the power of ML to integrate complex data and improve diagnostic and prognostic accuracy in MASH [32].