Infectious Disease

Hepatitis

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

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An MOF-Enhanced Anti-Fouling Immunoprobe Platform for Efficient Direct Screening of Pancreatic Cancer.

Monitoring biomarkers offers insights for early disease (e.g., cancer, chronic diseases) screening, ...

MCAUnet: a deep learning framework for automated quantification of body composition in liver cirrhosis patients.

Traditional methods for measuring body composition in CT scans rely on labor-intensive manual deline...

Construction and validation of HBV-ACLF bacterial infection diagnosis model based on machine learning.

OBJECTIVE: To develop and validate a novel diagnostic model for detecting bacterial infections in pa...

A machine learning-based framework for predicting metabolic syndrome using serum liver function tests and high-sensitivity C-reactive protein.

Metabolic Syndrome (MetS) comprises a clustering of conditions that significantly increase the risk ...

Modeling the prediction of spontaneous rupture and bleeding in hepatocellular carcinoma via machine learning algorithms.

This study aimed to identify the risk factors associated with spontaneous rupture and bleeding in he...

Human protein interaction networks of ancestral and variant SARS-CoV-2 in organ-specific cells and bodily fluids.

Understanding SARS-CoV-2 human protein-protein interactions (PPIs) and the host response to infectio...

Brainstem noradrenergic modulation of the kisspeptin neuron GnRH pulse generator in mice.

Brainstem noradrenaline (NA) neurons modulate the activity of many neural networks including those r...

Brain-wide input-output analysis of tuberal nucleus somatostatin neurons reveals hierarchical circuits for orchestrating feeding behavior.

Feeding is an innate behavior critical for survival but is also influenced by many non-nutritional f...

Language models learn to represent antigenic properties of human influenza A(H3) virus.

Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and...

Therapeutic horizons in metabolic dysfunction-associated steatohepatitis.

Metabolic dysfunction-associated steatohepatitis (MASH), the progressive inflammatory form of MASLD,...

Discovery of SARS-CoV-2 papain-like protease inhibitors through machine learning and molecular simulation approaches.

The papain-like protease (PLpro), a cysteine protease found in severe acute respiratory syndrome cor...

Early prediction of adverse outcomes in liver cirrhosis using a CT-based multimodal deep learning model.

PURPOSE: Early-stage cirrhosis frequently presents without symptoms, making timely identification of...

Multivariate Screening and Automated Clustering of Macrophage Immunoreactome to Nanoparticles and Photothermal Therapy.

Immunotherapy aims to control the immune system against diseases such as cancer or infections. Nanot...

From precision synthesis to cross-industry applications: The future of emerging peptide technologies.

Peptides, derived primarily from natural bioactive sources, play essential roles in human physiologi...

A Novel nor@DHB Matrix for Direct Microbial Analysis in Lung Cancer Tissues.

Dynamic changes occurring in the lung microbiota can impact the initiation, progression, and prognos...

In-silico study of approved drugs as potential inhibitors against 3CLpro and other viral proteins of CoVID-19.

The global pandemic, due to the emergence of COVID-19, has created a public health crisis. It has a ...

Accelerating vaccine development: Plug-and-play platforms for emerging infectious diseases.

Emerging pathogens underscore an urgent need for rapidly developed vaccines to minimize mortality an...

Leveraging viral genome sequences and machine learning models for identification of potentially selective antiviral agents.

Viral genome sequencing provides valuable information for antiviral development, yet its integration...

Advances in vaccine adjuvant development and future perspectives.

Use of highly purified antigens to improve vaccine safety has led to reduced immunogenicity and effi...

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