Latest AI and machine learning research in liver transplantation for healthcare professionals.
IMPORTANCE: Deep learning, a family of machine learning models that use artificial neural networks, ...
In this paper, we propose a generalized wrapper-based feature selection, called GeFeS, which is base...
BACKGROUND: Hepatitis E virus (HEV) is a major cause of human hepatitis worldwide. Zoonotic genotype...
Preliminary diagnosis of fungal infections can rely on microscopic examination. However, in many cas...
Hepatitis C virus (HCV) remains a significant public health challenge with approximately half of the...
This study presents a rapid method to screen hepatitis B patients using serum Raman spectroscopy com...
Accurate detection and quantification of hepatic fibrosis remain essential for assessing the severit...
BACKGROUND: This study aimed to develop prognostic models for predicting 28- and 90-day mortality ra...
causes life-threatening systemic infections in immunosuppressed patients. These infections are comm...
Several European countries have established criteria for prioritising initiation of treatment in pat...
BACKGROUND AND AIMS: This study aimed to clarify the clinical picture of hepatitis C virus (HCV) car...
Infectious bursal disease virus (IBDV) in turkeys may result in immunosuppression, and inability of ...
Chronic infection with Hepatitis B virus (HBV) is a major risk factor for the development of advance...
BACKGROUND: Body composition is increasingly being recognized as an important prognostic factor for ...
BACKGROUND: Liver transplantation (LT) is an accepted therapeutic option for hepatocellular carcinom...
Liver disease causes millions of deaths per year worldwide, and approximately half of these cases ar...
OBJECTIVES: Leflunomide (LFNM) is a drug that belongs to isoxazole derivatives and has immunosuppres...
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) affects 25-30% of the general population and i...
BACKGROUND AND AIM: Loss of hepatitis B surface antigen (HBsAg) is an important goal in the treatmen...
Bayesian Additive Regression Trees (BART) is a flexible machine learning algorithm capable of captur...
A framework for clinical diagnosis which uses bioinspired algorithms for feature selection and gradi...