Latest AI and machine learning research in liver transplantation for healthcare professionals.
BACKGROUND: Owing to individual heterogeneity, patients with idiopathic membranous nephropathy (IMN)...
BACKGROUND: The noninvasive detection of subclinical graft injury including subclinical T cell-media...
BACKGROUND: The study compared the readability, grade level, understandability, actionability, and a...
INTRODUCTION: In renal transplantation, donor hepatitis C virus (HCV) status is crucial to consider ...
Colorectal cancer (CRC) is a common malignancy involving multiple cellular components. The CRC tumor...
BACKGROUND: Most infectious diseases are caused by viruses, fungi, bacteria and parasites. Their abi...
BACKGROUND AND AIMS: Persons with substance use disorder are at increased risk for hepatitis B virus...
BACKGROUND: Among the advantaged population with clinical cure of chronic hepatitis B, chronic inact...
Despite good vaccine coverage and careful blood donor selection policies, hepatitis B virus (HBV) is...
Lactulose-based hepatic encephalopathy treatment requires bowel movements/day titration, which is im...
Studies suggest that mangiferin (MAF) has good therapeutic effects on chronic bronchitis and hepatit...
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...