Infectious Disease

Hepatitis

Latest AI and machine learning research in hepatitis for healthcare professionals.

2,901 articles
Stay Ahead - Weekly Hepatitis research updates
Subscribe
Browse Specialties
Showing 148-168 of 2,901 articles
Explainable AI for Symptom-Based Detection of Monkeypox: a machine learning approach.

BACKGROUND: Monkeypox, a viral zoonotic disease, is an emerging global health concern, with rising i...

A Review of In Silico Approaches for Discovering Natural Viral Protein Inhibitors in Aquaculture Disease Control.

Viral diseases pose a significant threat to the sustainability of global aquaculture, causing econom...

Identifying liver cirrhosis in patients with chronic hepatitis B: an interpretable machine learning algorithm based on LSM.

BACKGROUND: Chronic hepatitis B (CHB) is a common cause of liver cirrhosis (LC), a condition associa...

Reducing hepatitis C diagnostic disparities with a fully automated deep learning-enabled microfluidic system for HCV antigen detection.

Viral hepatitis remains a major global health issue, with chronic hepatitis B (HBV) and hepatitis C ...

Dynamic glucose enhanced imaging using direct water saturation.

PURPOSE: Dynamic glucose enhanced (DGE) MRI studies employ CEST or spin lock (CESL) to study glucose...

Enhancing Relation Extraction for COVID-19 Vaccine Shot-Adverse Event Associations with Large Language Models.

OBJECTIVE: The rapid evolution of the COVID-19 virus has led to the development of different vaccine...

Enhancing HCV NS3 Inhibitor Classification with Optimized Molecular Fingerprints Using Random Forest.

The classification of Hepatitis C virus (HCV) NS3 inhibitors is essential for identifying potential ...

Thermal Adaptation of Cytosolic Malate Dehydrogenase Revealed by Deep Learning and Coevolutionary Analysis.

Protein evolution has shaped enzymes that maintain stability and function across diverse thermal env...

Exploring the repository of de novo-designed bifunctional antimicrobial peptides through deep learning.

Antimicrobial peptides (AMPs) are attractive candidates to combat antibiotic resistance for their ca...

Unraveling the power of NAP-CNB's machine learning-enhanced tumor neoantigen prediction.

In this study, we present a proof-of-concept classical vaccination experiment that validates the in ...

Direct-to-Treatment Adaptive Radiation Therapy: Live Planning of Spine Metastases Using Novel Cone Beam Computed Tomography.

PURPOSE: Cone beam computed tomography (CBCT)-based online adaptive radiation therapy is carried out...

Multiplexed engineering of cytochrome P450 enzymes for promoting terpenoid synthesis in Saccharomyces cerevisiae cell factories: A review.

Terpenoids, also known as isoprenoids, represent the largest and most structurally diverse family of...

An interpretable machine learning-assisted diagnostic model for Kawasaki disease in children.

Kawasaki disease (KD) is a syndrome of acute systemic vasculitis commonly observed in children. Due ...

Factor enhanced DeepSurv: A deep learning approach for predicting survival probabilities in cirrhosis data.

BACKGROUND: Over the years, various models, including both traditional and machine learning models, ...

OnmiMHC: a machine learning solution for UCEC tumor vaccine development through enhanced peptide-MHC binding prediction.

The key roles of Major Histocompatibility Complex (MHC) Class I and II molecules in the immune syste...

Browse Specialties