Hepatitis

Application of machine-learning algorithms to identify the key determinants of risk for HIV, hepatitis C and hepatitis B in primary care settings.

BACKGROUND: Testing for Blood-Borne-Viruses (BBVs) such as the human immunodeficiency virus (HIV), hepatitis C virus (HCV) and hepatitis B virus (HBV) is generally focused on specialist settings. However, people with undiagnosed infections are also present within the general population. We explore whether using machine-learning algorithms (MLAs) can identify people at heightened risk of HIV, HBV, ...

The relationship between intrinsic capacity and functional ability - identifying key environmental features to support healthy ageing.

BACKGROUND: Within the World Health Organization's (WHO) healthy ageing framework, older adult's functional ability (FA) is determined by the intrinsic capacity (IC), the living environment, and their interaction. This study aimed to identify candidate environmental factors in relation to FA, both directly and interactively with IC. METHODS: Data from older adults (mean age = 69.4 years, SD = 7.5;...

Identification of PTPRR gene associated with cirrhosis and sarcopenia based on bioinformatics and machine learning.

BACKGROUND: Cirrhosis and sarcopenia frequently coexist and are associated with poor clinical outcomes; however, their shared genetic basis remains in...

Transcriptomic Analysis of Shared Lipid Metabolism in Chronic Hepatitis B and Non-Alcoholic Fatty Liver Disease Using Weighted Gene Expression Network Analysis.

Chronic hepatitis B (CHB) and non-alcoholic fatty liver disease (NAFLD) frequently coexist, and lipid metabolic dysregulation may represent a shared b...

Exploring anti-dengue activity with atomic-weighted vectors, class balancing and machine learning.

Dengue is a major mosquito-borne viral disease with no effective antiviral treatment currently available. This work introduces a machine-learning fram...

The association between plasma IgG N-glycosylation and viral encephalitis in children: a hospital-based case-control study.

BACKGROUND: Viral encephalitis (VE) is an acute inflammatory disease caused by viral infection. Children are at a significantly higher risk of develop...

An integrated AI-driven vaccine design process: a systematic review of workflows from generative design to translational prediction.

Traditional vaccine development faced significant hurdles, including lengthy timelines and high costs, which hindered rapid responses to pathogens. Al...

A Modular Mechanistic In Silico Model for In Vitro Transcription Process Yield and Product Quality Prediction.

In vitro transcription (IVT) plays a critical role in the manufacture of mRNA vaccines and therapeutics. Optimizing mRNA yield and ensuring product qu...

A comparison of two- and three-dose MVA-BN mpox vaccination series on anti-monkeypox virus immunity.

The 2022 global outbreak of clade IIb mpox represented a turning point in public health's handling of poxviruses. The primary vaccine available for th...

Machine learning-driven clinical decision support for liver cirrhosis: a gut microbiome-based web prediction model with explainable AI integration.

BACKGROUND: Liver cirrhosis (LC) is a chronic liver disease with global prevalence. Current diagnostic methods for LC still face limitations in safety...

Automated Delineation of Couinaud Segments on CT for Future Liver Remnant Volumetry.

Purpose To develop a deep learning model that automatically delineates the eight liver Couinaud segments and the spleen on CT for future liver remnant...

Design and in silico evaluation of an mRNA vaccine against HTLV-1 using AI-driven reverse vaccinology approaches.

Human T-lymphotropic virus type 1 (HTLV-1) is the first discovered human oncogenic retrovirus that can cause adult T-cell leukemia/lymphoma, HTLV-1-as...

Leveraging natural language processing software to implement and execute abdominal aortic aneurysm surveillance.

BACKGROUND: Long-term follow-up is essential for patients with abdominal aortic aneurysms (AAAs). Our health system implemented an AAA surveillance pr...

A Biomimetic Nanozyme Engineered via Coordination and Confinement for Photothermal-Reinforced Catalytic Detection of Extracellular Vesicles and Diagnosis of Cancer.

Extracellular vesicles (EVs) have emerged as promising biomarkers for liquid biopsy. However, their clinical detection is hampered by heterogeneity an...

Cost-effectiveness of latent tuberculosis infection screening using interferon-gamma release assays among migrants to Japan: a Markov modelling study incorporating social vulnerability and access barriers.

OBJECTIVE: This study aims to evaluate the cost-effectiveness of latent tuberculosis infection (LTBI) screening strategies using interferon-gamma rele...

The architecture of computational antiviralism: a multi-scale framework from molecular targeting to viral ecosystem engineering.

The recurrent outbreak of viral pathogens and the possibility of the new pandemics demand the transition to the predictive and integrative computation...

From Genomic Instability to Epigenetic Signatures: The Evolving Landscape of Circulating Cell-free DNA in Metabolic Dysfunction-Associated Steatotic Liver Disease.

Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a leading global health burden, yet its diagnosis and staging rely heavily...

Noninvasive Screening for High-Risk Esophageal Varices in Cirrhosis: Current and Emerging Methods.

The primary goal of variceal screening in patients with cirrhosis is to identify high-risk esophageal varices (HREV) and implement preventative measur...

A Novel Covalent Inhibitor Fragment for the SARS-CoV-2 Main Protease Identified by Target-Specific Deep Learning.

The SARS-CoV-2 main protease (Mpro, also known as 3CLpro) is an attractive antiviral drug target due to its essential role in viral replication and ab...

An XGBoost-Based Multicenter Model for Predicting HBV-Related Hepatocellular Carcinoma: Development and Validation.

BACKGROUND: The 5-year survival rate for hepatocellular carcinoma (HCC) is stage-dependent, yet existing models lack accuracy in predicting hepatitis ...