Hepatitis

Identification of CTSK as a TLR-related critical biomarker in liver cirrhosis via integrative bioinformatics and pathological characterization.

Liver cirrhosis (LC) is a common chronic disease worldwide with a poor prognosis, and its pathogenes...

A hybrid framework of generative deep learning for antiviral peptide discovery.

Antiviral peptides (AVPs) hold great potential for combating viral infections, yet their discovery a...

Generative AI in hepatology: Transforming multimodal patient-generated data into actionable insights.

Cirrhosis care is inherently complex, marked by a high risk of acute decompensation and significant ...

Assessment and management of portal hypertension in patients with MASLD: advances and caveats.

INTRODUCTION: Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly gaini...

Cost-effectiveness analysis of artificial intelligence (AI) in earlier detection of liver lesions in cirrhotic patients at risk of hepatocellular carcinoma in Italy.

BACKGROUND: Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide and the third m...

Prediction and characterisation of the human B cell response to a heterologous two-dose Ebola vaccine.

Ebola virus disease (EVD) outbreaks are increasing, posing significant threats to affected communiti...

Ethical Implications of Artificial Intelligence in Vaccine Equity: Protocol for Exploring Vaccine Distribution Planning and Scheduling in Pandemics in Low- and Middle-Income Countries.

BACKGROUND: The COVID-19 pandemic highlighted significant disparities in vaccine distribution, parti...

Artificial intelligence-enhanced ECG detection of acute coronary occlusion in chest pain patients with ST-elevation in lead aVR - A direct comparison to conventional ECG criteria.

The application and discovery of animal models in enterovirus research.

Enterovirus infection remains a significant global public health challenge, causing severe diseases ...

Machine learning approaches to dissect hybrid and vaccine-induced immunity.

BACKGROUND: The spread of SARS-CoV-2 Omicron variant and its subvariants, highly transmissible but r...

Predicting SARS-CoV-2-specific CD4 and CD8 T-cell responses elicited by inactivated vaccines in healthy adults using machine learning models.

The ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants highl...

Dual-Mode SERS Lateral Flow Aptamer Assay with Machine Learning-Driven Highly Sensitive Interferon-γ Detection.

Interferon-γ (IFN-γ), a key pro-inflammatory cytokine, is widely recognized as a critical biomarker ...

Wristful thinking: exploring the effects of robotic rehabilitation and cross-education for persons with multiple sclerosis.

The goal of this work was to develop an adaptive rehabilitation technique using a haptic wrist robot...

Gut microbiome alterations and hepatic encephalopathy post-TIPS in liver cirrhosis patients.

BACKGROUND: The transjugular intrahepatic portosystemic shunt (TIPS), a crucial tool for treating co...

Tracing the evolutionary pathway of SARS-CoV-2 through RNA sequencing analysis.

The COVID-19 pandemic, driven by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), h...

Soil and litter emission sources as important contributors to ozone production from volatile organic compounds in island tropical forests.

While studies have confirmed that volatile organic compounds (VOCs) emitted directly by tropical isl...

Data-Driven Printability Modeling of Hydrogels for Precise Direct Ink Writing Based on Rheological Properties.

Hydrogels are gaining significant attention in soft robotics and electronics due to their favorable ...

Machine learning-assisted multi-dimensional transcriptomic analysis of cytoskeleton-related molecules and their relationship with prognosis in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide, with a poor pro...

Deep learning-driven insights into the transmission dynamics of hepatitis B virus with treatment.

Viral infections have spread globally, profoundly affecting social and economic aspects of life and ...

Direct Modeling of DNA and RNA Aptamers with AlphaFold 3: A Promising Tool for Predicting Aptamer Structures and Aptamer-Target Interactions.

Aptamers, single-stranded nucleic acids that fold into unique three-dimensional shapes, bind selecti...

Development of machine learning prediction models for systemic inflammatory response following controlled exposure to a live attenuated influenza vaccine in healthy adults using multimodal wearable biosensors in Canada: a single-centre, prospective controlled trial.

BACKGROUND: Presymptomatic or asymptomatic immune system signals and subclinical physiological chang...