Hepatitis

Findings from the 2025 AMCP Foundation Symposium: Health Optimization 2.0.

The 2025 AMCP Foundation Symposium: Health Optimization 2.0 convened a select group of just over 70 managed care stakeholders in Dallas, Texas, on December 2-3, 2025. Via presentations and panel sessions, participants examined how precision medicine, data analytics, evolving policy, and health system design can address inequities in care delivery. Focus areas included precision medicine in oncolog...

Multimodal artificial intelligence models for liver fibrosis staging: a scoping review.

Multimodal artificial intelligence (AI) approaches integrating heterogeneous data sources represent an emerging frontier in liver fibrosis assessment. However, use of multimodal AI for liver fibrosis staging has been only preliminarily explored, and the existing evidence is constrained by substantial methodological gaps. This scoping review aimed to comprehensively map the current evidence on mult...

Deep learning enables rabies virus detection and antibody quantification in cell culture.

Rabies remains a major neglected disease, causing tens of thousands of deaths annually in endemic regions. Cell culture-based assays are central to ra...

Artificial intelligence for environmental sustainability across sectors: a scoping review and evidence map for nursing and health policy.

BACKGROUND: Health systems are expected to reduce environmental impacts while preserving safe, continuous and equitable care. Artificial intelligence ...

Emerging Role of AI in Gastroenterology and Hepatology: Revolutionizing Medical Device-Assisted Diagnosis.

Recent advancements in AI have emerged in the diagnosis of different diseases by enhancing the analysis of various medical imaging. Similarly, the eng...

Integrative Multi-Omics Analysis Elucidates the Progressive Disease Landscape and Reveals Dynamic Protein Biomarkers for MASLD Surveillance.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver disease worldwide, encompassing a continuum rangi...

Artificial intelligence (AI)-assisted full-course case management for primary liver cancer: System design, preliminary implementation, and practical considerations.

Primary liver cancer presents substantial management challenges across the surgical trajectory, including high recurrence rates, prolonged rehabilitat...

Artificial intelligence and multi-omics revealed the authentic regulation of ADP-ribosylation in modulation Treg/Th17 ecosystem and multi-target therapeutic strategy enrichment for HBV+ Hepatocellular Carcinoma patients.

OBJECTIVE: Dysregulation of Protein post-translation(PTM) and Treg/Th17 balance contribute to the progression of Hepatocellular Carcinoma(HCC) patient...

NanoRAPID: A Deep Learning-based Framework for Single-molecule RNA Structure Analysis Using Nanopore Direct RNA Sequencing.

RNA structure is fundamental to its diverse biological functions. Current chemical probing methods, coupled with next-generation sequencing, offer ins...

A computational method to design broad-spectrum T cell-inducing vaccines applied to Betacoronaviruses.

Antigenically diverse pathogens such as coronaviruses pose substantial global health threats, highlighting the need for broad-spectrum vaccines. Here,...

TACE-induced liver injury in hepatocellular carcinoma: mechanisms, prediction, and prevention in the era of gut microbiota and inflammasome research.

Transarterial chemoembolization (TACE) is a cornerstone locoregional therapy for hepatocellular carcinoma (HCC), yet most candidates also have cirrhos...

CIST: A clade-informed sequence transformer framework for predicting influenza virus antigenicity.

Rapid antigenic evolution of influenza viruses complicates timely vaccine strain selection and renders prospective interpretation of serological assay...

White cell - platelet ratio: A strong indicator for early mortality in liver cirrhosis patients with esophagogastric varices.

Esophagogastric varices (EGV) in liver cirrhosis patients within the intensive care unit (ICU) is a significant medical concern. This study aims to de...

Machine learning-driven prioritization and experimental validation of traditional Chinese medicine-derived STING-inhibitory candidates.

The stimulator of interferon genes (STING) is a key signalling adaptor in the cGAS-STING pathway of the innate immune system and plays a significant r...

Neural networks and behavioral frameworks to analyse the impact of media and individual awareness for controlling epidemics.

Enhancing individual awareness and immunization are generally recognized as fundamental strategies for controlling infectious diseases. Awareness is i...

Cyanobacteria as biochemical treasure troves: unveiling bioactive metabolites for pharmaceutical and global sustainability.

Cyanobacteria, among the most ancient and versatile microorganisms on Earth, thrive across different aquatic ecosystems, ranging from freshwater to ma...

Diagnosis of Small Focal Liver Lesions (≤2 cm): A Deep Learning Approach Based on B-Mode Ultrasound and Contrast-Enhanced Ultrasound.

BACKGROUND: To develop and validate a deep learning (DL) model based on feature fusion with B-mode ultrasound (BMUS) and contrast enhanced ultrasound ...

A fractional ABC model for hepatitisB virus transmission with forecasting of epidemic trends using neural networks.

This paper develops a fractional-order HBV epidemic model using the Atangana-Baleanu-Caputo (ABC) fractional derivative with a nonsingular Mittag-Leff...

Heterogeneous income gradients in early motherhood in Mexico: a population-based multi-method study, 2000-2020.

BACKGROUND: Early motherhood remains a major public health and equity challenge in low- and middle-income countries, especially in Latin America. Whil...

Dynamic gut microbiota shift in chronic liver disease progression: machine learning models and the E/Er ratio as a predictive biomarker.

BACKGROUND: Chronic liver disease (CLD) and its progression to compensated cirrhosis (CC), decompensated cirrhosis (DC), and acute-on-chronic liver fa...