Latest AI and machine learning research in liver transplantation for healthcare professionals.
Liver cirrhosis remains a significant global public health concern, with liver transplantation stand...
Many evidences have confirmed that chromatin regulator factors (CRs) are involved in the progression...
[This retracts the article DOI: 10.1155/2022/1217003.].
Spider angiomas are dilated vascular channels in the skin. They have a central arteriole with surrou...
Inflammation is a biological response to harmful stimuli, aiding in the maintenance of tissue homeos...
Raman spectroscopy has emerged as a powerful tool in medical, biochemical, and biological research w...
OBJECTIVES: We hypothesized that the immunosuppressive effects associated with antibiotics, sedative...
INTRODUCTION: Three years after the beginning of the SARS-CoV-2 pandemic, the safety and efficacy of...
Based on the deep learning method, a network model that can quickly and accurately identify the spec...
Kidney transplant patients require careful management of immunosuppression to avoid rejection while ...
BACKGROUND: The Surveillance for Emerging Threats to Pregnant People and Infants Network (SET-NET) c...
ZHX2 plays a crucial role in host immunity and modulates hepatitis B virus (HBV) replication. Howeve...
PURPOSE: This study aimed to develop and validate a deep learning model based on two-dimensional (2D...
INTRODUCTION: Undiagnosed cirrhosis remains a significant problem. In this study, we developed and t...
The application of machine learning (ML) has shown promising results in precision medicine due to it...
BACKGROUND/AIMS: The prediction of clinical outcomes in patients with chronic hepatitis B (CHB) is p...
Chronic hepatitis B virus (HBV) infection affects about 262 million people worldwide, leading to ove...
In this proof-of-principle study, we systematically studied the potential of Raman spectroscopy for ...
Despite the advancements in the diagnosis of early-stage cirrhosis, the accuracy in the diagnosis us...
BACKGROUND: Infectious diseases are a major threat to public health, causing serious medical consump...
OBJECTIVE: To develop and investigate a deep learning model with data integration of ultrasound cont...