Hepatitis

Machine learning-derived clinical phenotypes of ascites in cirrhosis: A multi-center latent class analysis with external validation.

BACKGROUND: Ascites development in cirrhosis reduces five-year survival from 80% to 30%, yet substantial heterogeneity exists among patients with comparable ascites severity. METHODS: This multicenter retrospective cohort study included adult liver transplant candidates with ascites at four United States centers (2015-2024). Latent class analysis was performed using seven clinical variables: ascit...

C1R suppresses hepatocellular carcinoma cell aggressiveness through promoting HIF-1α degradation and modulating cuproptosis-related protein expression.

BACKGROUND: Hepatocellular carcinoma (HCC) frequently develops in the setting of chronic hepatitis B virus (HBV) infection, yet the molecular events shared by HBV-related liver injury and malignant transformation remain incompletely characterized. Recent studies of cuproptosis indicate that copper overload can disturb mitochondrial metabolic programs in tumor cells. This rationale prompted us to e...

AI-driven Identification of Zika Virus Inhibitors.

Research engaged with AI has dramatically increased due to a huge improvement of technologies in terms of cost and time-effectiveness as well as decre...

Idiopathic inflammatory myopathies as a damage-data-endotype continuum: A roadmap to precision trials and computable biomarkers.

Idiopathic inflammatory myopathies (IIM) are heterogeneous immune-mediated diseases characterized by muscle inflammation that coexists with variable t...

Machine learning-based prediction of SARS-CoV-2 bioactivity: integrating IC50 regression and activity classification using multi-task neural networks.

Accurate prediction of compound bioactivity is essential for accelerating antiviral drug discovery and reducing experimental costs. Machine learning (...

Progress and Perspectives of Furanone Derivatives in Pesticide Chemistry.

Furanone and its derivatives, featuring five-membered oxygen-containing heterocyclic rings, offer broad-spectrum bioactivities and favorable environme...

Exploration of Hepatitis B Virus Infection Dynamics through Physics-Informed Deep Learning Approach.

Accurate forecasting of viral disease outbreaks is crucial for guiding public health responses and preventing widespread loss of life. Recently, Physi...

Engineering Organoid Platforms for Pathogenesis Research.

Emerging and re-emerging infectious diseases ranging from the 1918 H1N1 influenza pandemic to the recent SARS-CoV-2 and monkeypox virus outbreaks cont...

Integrative multi-omics reveals a prognostic and therapeutic landscape of synthetic lethality-associated signatures in lung adenocarcinoma.

Lung adenocarcinoma (LUAD) exhibits considerable heterogeneity and therapeutic resistance. Here, we integrated single-cell RNA sequencing, spatial tra...

HBV-Specific T Cell Responses for Short-Term Hepatitis Progression Prediction: A Comparative, Interpretable Machine Learning Study.

BACKGROUND & AIMS: As central determinants of viral control and immunopathology, hepatitis B virus (HBV)-specific T-cell responses provide more clinic...

Engineering autoimmune disease models using organoids: Harnessing microenvironmental engineering for precision medicine and immunological recapitulation.

Autoimmune diseases-including systemic sclerosis (SSc), systemic lupus erythematosus (SLE), and rheumatoid arthritis (RA)-are increasingly understood ...

Interferon-Associated Antiviral Programs Define LAG-3+ Exhaustion-Like CD8+ T-Cell Remodeling in Influenza a Virus Infection: An Integrative Single-Cell and Multi-Cohort Analysis.

BACKGROUND: Influenza A virus (IAV) infection induces complex antiviral immune responses, yet how innate sensing, host genetic susceptibility, and ada...

Epigallocatechin gallate inhibits high-fat/choline diet-induced trimethylamine production via regulation of intestinal Serratia and Lactobacillus communities.

High-fat/choline diets can induce the production of the enterogenous metabolite trimethylamine-N-oxide (TMAO). TMAO is synthesized from its precursor ...

Screening for diabetic retinopathy with artificial intelligence in a primary care setting: a comparative cost analysis.

OBJECTIVE: Cost analysis of autonomous artificial intelligence (AI)-based screening of diabetic retinopathy (DR) for adults with diabetes at a primary...

Genomic, epigenomic and transcriptomic regulation of cellular senescence.

Cellular senescence is a complex, highly regulated cell state induced by cellular damage and stress. Senescence is central to many areas of biology, w...

Deep learning-based prediction of drug-target interactions between antiviral drugs and SARS-CoV-2 proteins using an image-based representation approach.

Drug repurposing offers a time-efficient strategy for identifying therapeutics against emerging pathogens such as SARS-CoV-2. In this study, we apply ...

ViralMap: predicting features in viral proteins from primary sequence.

Modern viral vaccines are designed to elicit an immune response against viral proteins that mediate infection, making those proteins important targets...

Cardiopedia-Ligand: A ligand-receptor perturbation atlas of human cardiac organoid function and transcriptional state.

Large-scale perturbation atlases have transformed systems biology, yet no equivalent resource exists for the human heart, where contractile function a...

Discovery of a phenazine-thiol conjugase from sparse data using genome-informed machine learning.

Machine learning has enabled powerful biological discoveries using models trained on large datasets. However, for many important biological questions,...

The Role of Pharmacists in Tackling Mpox: Challenges and Future Prospects: A Narrative Review.

BACKGROUND AND AIMS: Pharmacists play a key role in managing and mitigating mpox through clinical care, pharmacovigilance, vaccine management, and res...