Latest AI and machine learning research in hepatitis for healthcare professionals.
BACKGROUND: Major depressive disorder is the leading cause of mental health-related burden globally ...
A sensitive chemiluminescent enzyme immunoassay (CLEIA) was established for the determination of gen...
The Korean mountains are home to the Korean red pine (). Pine needle oil has been used as a food add...
During the COVID-19 pandemic we utilized an AI-driven T cell epitope prediction tool, the NEC Immune...
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...
The rapid development of drugs against emerging and re-emerging viruses is required to prevent futur...
Efficient translation mediated by the 5' untranslated region (5' UTR) is essential for the robust ef...
Supervised learning in deep neural networks is commonly performed using error backpropagation. Howev...
Vaccines to curb the global spread of multidrug-resistant gonorrhea are urgently needed. Here, 26 va...
In the present study, a new application was proposed for the eucalyptus sawdust waste, which is an e...
Since adipocytes play a crucial role in pathogenesis of severe acute respiratory syndrome coronaviru...
ZHX2 plays a crucial role in host immunity and modulates hepatitis B virus (HBV) replication. Howeve...
Dairy-derived angiotensin-I-converting enzyme inhibitory peptides (ANGICon-EIPs) have been regarded ...
Influenza viruses are detected year-round over the world and the viruses will usually circulate duri...
PURPOSE: This study aimed to develop and validate a deep learning model based on two-dimensional (2D...
Plant pathogens cause severe losses to agricultural yield worldwide. Tracking plant health and early...
Liver is one of the most common sites for metastases, which can occur on account of primary tumors f...
INTRODUCTION: Undiagnosed cirrhosis remains a significant problem. In this study, we developed and t...
Due to limited direct organ visualization, minimally invasive interventions rely extensively on medi...
Development of brain-computer interface (BCI) technology is key for enabling communication in indivi...