Steady progress over four decades toward understanding the pathogenesis and clinical
consequences of hepatic fibrosis has led to the expectation of effective antifibrotic drugs, yet …

Non-alcoholic fatty liver disease (NAFLD) and its inflammatory form, non-alcoholic
steatohepatitis (NASH), have quickly risen to become the most prevalent chronic liver …

The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …

Many factors such as trauma and COVID-19 cause acute kidney injury (AKI). Late AKI have
a very high incidence and mortality rate. Early diagnosis of AKI provides a critical therapeutic …

Artificial intelligence (AI) and machine learning (ML) systems are increasingly used in
medicine to improve clinical decision-making and healthcare delivery. In gastroenterology …

Precision medicine defines the attempt to identify the most effective approaches for specific
subsets of patients based on their genetic background, clinical features, and environmental …

Non-alcoholic fatty liver disease (NAFLD) has become the most common chronic liver
disease worldwide. Although NAFLD is tightly linked to obesity and type 2 diabetes, this liver …

This research paper examines the transformative role of artificial intelligence (AI) and
machine learning (ML) in advancing materials discovery and production processes. The …

The advancement of investigation tools and electronic health records (EHR) enables a
paradigm shift from guideline‐specific therapy toward patient‐specific precision medicine …

Extreme gradient boosting (XGBoost) is a broadly adopted machine learning approach often
applied to classification problems. It outperforms many contemporary methods with high …