Hepatitis

Application of Emerging Technologies in the Antiviral Field.

Viral diseases pose a serious threat to global public health, agriculture, and biosecurity. Conventional antiviral strategies are often limited by an incomplete understanding of disease mechanisms, poor targeting precision, and slow response times. Emerging technologies are now reshaping the landscape of antiviral research. This review examines the roles of four key frontiers, including organoid m...

PFOS exposure is linked to immune-metabolic disruption in MASLD: integrated population, computational, and experimental evidence.

Perfluorooctane sulfonate (PFOS), a persistent environmental pollutant, has been implicated in metabolic dysfunction-associated steatotic liver disease (MASLD), yet the underlying molecular mechanisms remain incompletely characterized. We constructed an integrated analytical framework combining population epidemiology, network toxicology, machine learning, transcriptomic analysis, single-cell mapp...

Structure prediction and drug screening targeting monkeypox virus polymerase and surface proteins.

The global outbreak and ongoing spread of the monkeypox virus (MPXV) have highlighted the urgent need for effective antiviral therapeutics. Here, we i...

Large Language Models for Heterogeneous Data Mining in Liver Disease: Framework Development and Retrospective Validation Study.

BACKGROUND: Differentiating among liver disease entities such as autoimmune liver disease (AILD), drug-induced liver injury (DILI), and chronic hepati...

Temporal validation of machine-learning models for shingles vaccine nonvaccination among U.S. adults aged 50 years and older.

BACKGROUND: Herpes zoster vaccination is recommended for U.S. adults aged 50 years and older, yet many remain unvaccinated. Prior National Health Inte...

Cost-Effectiveness of AI-Enabled Electrocardiography for Screening MASLD-Associated Advanced Chronic Liver Disease in the US Population.

BACKGROUND: MASLD is the most prevalent chronic liver disease worldwide, with pooled global prevalence estimates of approximately 30%. Current noninva...

Pharmacological personalization of JAK inhibitors in rheumatoid arthritis: A multi-omics and AI-based scoping review and evidence-gap map.

INTRODUCTION: Personalization of Janus kinase inhibitor (JAKi) therapy in rheumatoid arthritis (RA) remains an unresolved clinical task. Multi-omics/m...

Cross-protective human antibodies against the Mpox virus discovered through structure-guided screening.

Mpox virus (MPXV) poses an increasing global health threat, as underscored by two World Health Organization declarations of Public Health Emergencies ...

Identification of Pre-Diagnostic Protein Biomarkers for Liver Cirrhosis Based on Prospective Analysis of a Large-Scale Plasma Proteomics in the UK Biobank.

PURPOSE: Liver fibrosis and cirrhosis represent critical stages in the progression of chronic liver disease, yet their key molecular features remain i...

Cross-tissue immune profiling of APOE ε4 reveals early dysregulation in Alzheimer's disease.

INTRODUCTION: Apolipoprotein E (APOE) ε4 is the strongest genetic risk factor for late-onset Alzheimer's disease (AD), but its contribution to disease...

GANs in Peptide Drug Discovery: From De Novo Design to Multi-Property Optimization and Clinical Translation.

Peptide drugs are vital for treating intractable diseases, yet traditional discovery is limited by huge sequence space and poor pharmacokinetics. Gene...

Noninvasive Classification of Advanced Liver Fibrosis Using Clinical Data and Non-Contrast MRI: Fusion of Clinical, Radiomic, and Deep Learning Models.

Noninvasive identification of advanced liver fibrosis (ALF), commonly defined as Scheuer stage S3 or higher, is important for the management of patien...

Silencing SLC52A2 promotes tertiary lymphoid structure formation and inhibits IL-17 pathway to ameliorate melanoma progression.

Tertiary lymphoid structure (TLS) correlates with improved prognosis in melanoma. The role of solute carrier family 52 member A2 (SLC52A2) in mediatin...

A data-driven approach to hepatitis C forecasting using machine learning and epidemiological models.

The hepatitis C virus is a significant global health concern and a major cause of chronic liver disease. Therefore, developing a mathematical model is...

Artificial intelligence in Latin American hepatology: current evidence, implementation barriers, and strategic priorities.

Chronic liver diseases are an increasing cause of morbidity and mortality in Latin America, driven by the convergence of alcohol and metabolic-associa...

Pooled two-cohort MRI body composition phenotyping with open-source deep learning.

BACKGROUND: Body mass index fails to capture variation in fat and muscle distribution that determines metabolic health and disease risk. MRI enables r...

Discovery of two novel small-molecule series with potent SARS-CoV-2 inhibition via putative nsp13 open-state trapping.

We report the discovery of 31 SARS-CoV-2 inhibitors identified across two computational-to-experimental screening campaigns, with average cell-based a...

Microphysiological immune-on-chip systems: engineering human immunity for precision immunotherapy, vaccine development, and autoimmune disease modelling.

Microphysiological immune-on-chip systems have emerged as transformative biomedical microdevices capable of recreating the structural, biochemical, an...

Machine learning-driven drug repurposing and computational validation for Nipah virus.

The recurring Nipah virus outbreaks and the lack of effective antiviral therapies, emphasize the urgent need for effective therapeutic interventions. ...

Machine learning-assisted design of a dendritic cell nanovaccine inducing twin immunity against monkeypox.

The global emergence of monkeypox virus (MPXV) has created an urgent need for effective vaccines that induce robust immune responses. Here, we report ...