Results 31 to 40 of about 297,520 (322)

Coeliac disease in the ERA of the new ESPGHAN and BSPGHAN guidelines: a prospective cohort study [PDF]

open access: yes, 2015
To evaluate the consequences of the last European Society of Paediatric Gastroenterology, Hepatology and Nutrition (ESPGHAN) and British Society of Paediatric Gastroenterology, Hepatology and Nutrition (BSPGHAN) guidelines for the diagnosis of coeliac ...
Benelli, Elisa   +5 more
core   +1 more source

Obesity-linked suppression of membrane-bound O-acyltransferase 7 (MBOAT7) drives non-alcoholic fatty liver disease

open access: yeseLife, 2019
Recent studies have identified a genetic variant rs641738 near two genes encoding membrane bound O-acyltransferase domain-containing 7 (MBOAT7) and transmembrane channel-like 4 (TMC4) that associate with increased risk of non-alcoholic fatty liver ...
Robert N Helsley   +32 more
doaj   +1 more source

Hepatitis C prevalence among men who have sex with men attending a gay bathhouse

open access: yesJGH Open, 2022
Background and Aim Related research has found that men who visit public sex environments such as a gay bathhouse engage in unprotected anal intercourse and tend to have multiple sexual partners during their visit. We aimed to assess the risk of hepatitis
Sakkarin Chirapongsathorn
doaj   +1 more source

Artificial Intelligence-Based Opportunities in Liver Pathology—A Systematic Review

open access: yesDiagnostics, 2023
Background: Artificial Intelligence (AI)-based Deep Neural Networks (DNNs) can handle a wide range of applications in image analysis, ranging from automated segmentation to diagnostic and prediction.
Pierre Allaume   +11 more
doaj   +1 more source

Acute Hepatic Porphyrias: Review and Recent Progress. [PDF]

open access: yes, 2019
The acute hepatic porphyrias (AHPs) are a group of four inherited diseases of heme biosynthesis that present with episodic, acute neurovisceral symptoms.
Andant   +40 more
core   +1 more source

Hepatology highlights

open access: yesAnnals of Hepatology, 2014
Survey of health status, nutrition and geography of food selection of chronic liver disease ...
Bedogni, Giorgio, TIRIBELLI, CLAUDIO
openaire   +4 more sources

A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI [PDF]

open access: yesarXiv, 2021
Objectives: to propose a fully-automatic computer-aided diagnosis (CAD) solution for liver lesion characterization, with uncertainty estimation. Methods: we enrolled 400 patients who had either liver resection or a biopsy and was diagnosed with either hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma, or secondary metastasis, from 2006 ...
arxiv  

Microenvironment and tumor cells: two targets for new molecular therapies of hepatocellular carcinoma. [PDF]

open access: yes, 2018
Hepatocellular carcinoma (HCC), is one of the most frequent human cancer and is characterized by a high mortality rate. The aggressiveness appears strictly related to the liver pathological background on which cancer develops.
Amicone, Laura, Marchetti, Alessandra
core   +1 more source

Distribution of Hepatitis B Virus Genotypes Among Patients at Internal Medicine Unit, Dr. Soetomo General Hospital, Surabaya [PDF]

open access: yesWMJ (Warmadewa Medical Journal), 2019
health problem worldwide, especially in developing countries. The study of HBV genotypes is important to find out the diversity of HBV genotypes related to the severity of the disease, response to therapy, and clinical symptoms. Objective: This study was
Citrawati Dyah Kencono Wungu   +6 more
doaj   +1 more source

Machine Learning and Deep Learning Methods for Building Intelligent Systems in Medicine and Drug Discovery: A Comprehensive Survey [PDF]

open access: yesarXiv, 2021
With the advancements in computer technology, there is a rapid development of intelligent systems to understand the complex relationships in data to make predictions and classifications. Artificail Intelligence based framework is rapidly revolutionizing the healthcare industry. These intelligent systems are built with machine learning and deep learning
arxiv  

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