In a groundbreaking development, machine learning techniques have demonstrated significant potential in the early diagnosis of Non-Alcoholic Steatohepatitis (NASH) based on clinical data and blood parameters, particularly the NAFLD Activity Score (NAS). This promising research marks a substantial leap towards non-invasive and precise NASH diagnosis, eliminating the need for invasive procedures like liver biopsy. The
