Background and objectives Non-alcoholic fatty liver disease (NAFLD) is a common liver
disease with a rapidly growing incidence worldwide. For prognostication and therapeutic …

Background Applied behavioral analysis (ABA) is regarded as the gold standard treatment
for autism spectrum disorder (ASD) and has the potential to improve outcomes for patients …

Purpose Disorders on the autism spectrum have characteristics that can manifest as
difficulties with communication, executive functioning, daily living, and more. These …

Introduction Accurate and reliable diagnosis and monitoring of hepatic fibrosis is
increasingly important given the variable natural history in chronic liver disease (CLD) and …

This study aims to develop a machine learning approach leveraging clinical data and blood
parameters to predict non-alcoholic steatohepatitis (NASH) based on the NAFLD Activity …

Objective Metabolic dysfunction-associated steatotic liver disease (MASLD) significantly
impacts patients with type 2 diabetes mellitus (T2DM), where current non-invasive …

Early identification of high-risk metabolic dysfunction-associated steatohepatitis (MASH) can
offer patients access to novel therapeutic options and potentially decrease the risk of …

The early diagnosis of NASH disease can decrease the risk of proceeding elements and
treatment costs for patients. This study aims to present an optimal combination of intelligent …

The rising incidence of fatty liver disease (FLD) poses a health challenge, and is expected to
be the leading global cause of liver-related morbidity and mortality in the near future. Early …

Metabolic dysfunction-associated steatotic liver disease (MASLD) currently represents the
predominant cause of chronic liver disease and is closely linked to a significant increase in …