Results 11 to 20 of about 11,653,388 (315)
Alcoholic liver disease (ALD) represents a spectrum of liver injury resulting from alcohol use, ranging from hepatic steatosis to more advanced forms including alcoholic hepatitis (AH), alcoholic cirrhosis (AC), and acute alcoholic hepatitis presenting ...
D. Crabb+4 more
semanticscholar +1 more source
A mild to moderate iron excess is found in patients with liver diseases apparently unrelated to genetic hemochromatosis. Iron appears to affect the natural history of hepatitis C virusârelated chronic liver diseases, alcoholic liver disease and nonalcoholic steatohepatitis by leading to a more severe fibrosis and thus aiding the evolution to cirrhosis ...
S.R. Fargion+3 more
openaire +6 more sources
Nonalcoholic fatty liver disease (NAFLD) is one of the most common and increasing liver diseases worldwide. NAFLD is a term that involves a variety of conditions such as fatty liver, steatohepatitis, or fibrosis. Gut microbiota and its products have been
Eunju Park+8 more
doaj +1 more source
Epidemiology of non-alcoholic and alcoholic fatty liver diseases.
Liver diseases are fast emerging as global health priorities. Fatty liver is described in the setting of non-alcoholic fatty liver disease (NAFLD) as well as alcoholic liver disease (ALD), the pathogenesis of excess fat being different in the two ...
Souveek Mitra, Arka De, A. Chowdhury
semanticscholar +1 more source
Background. Few studies explored whether anti-hepatitis B virus (HBV) therapy should be initiated during postpartum hepatitis flare. Aim. This study aimed to analyze the effect of anti-HBV therapy on postpartum hepatitis flare and evaluate the prognosis ...
Min Quan+3 more
doaj +1 more source
We intended to identify favourable metabolite(s) and pharmacological mechanism(s) of gut microbiota (GM) for liver regeneration (LR) through network pharmacology.
Ki-Kwang Oh+18 more
doaj +1 more source
Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease [PDF]
With the success of deep learning-based methods applied in medical image analysis, convolutional neural networks (CNNs) have been investigated for classifying liver disease from ultrasound (US) data. However, the scarcity of available large-scale labeled US data has hindered the success of CNNs for classifying liver disease from US data.
arxiv +1 more source
Liver Tumor Prediction with Advanced Attention Mechanisms Integrated into a Depth-Based Variant Search Algorithm [PDF]
In recent days, Deep Learning (DL) techniques have become an emerging transformation in the field of machine learning, artificial intelligence, computer vision, and so on. Subsequently, researchers and industries have been highly endorsed in the medical field, predicting and controlling diverse diseases at specific intervals.
arxiv +1 more source
Genome-wide and Mendelian randomisation studies of liver MRI yield insights into the pathogenesis of steatohepatitis [PDF]
Background A non-invasive method to grade the severity of steatohepatitis and liver fibrosis is magnetic resonance imaging (MRI) based corrected T1 (cT1).
Banerjee, R+25 more
core +3 more sources
Hematological Malignancies and HBV Reactivation Risk: Suggestions for Clinical Management
It is well known that hepatitis B virus reactivation (HBVr) can occur among patients undergoing treatment for hematological malignancies (HM). The evaluation of HBVr risk in patients undergoing immunosuppressive treatments is a multidimensional process ...
Alessandra Zannella+2 more
doaj +1 more source