Hepatitis

Identifying Subgroups of People Living With HIV in British Columbia, Canada Based on Sexually Transmitted and Blood-Borne Infection Testing and Diagnostic Laboratory Data: A Retrospective Cohort Study.

BACKGROUND AND AIMS: Although combination antiretroviral therapy has decreased morbidity and mortality in people living with HIV (PLWH), the prevalence of other sexually transmitted and blood-borne infections (STBBIs) is rising within this population. We used Latent Class Analysis to examine the diverse lab testing and diagnostic patterns of PLWH in British Columbia (BC), Canada to identify subpop...

Development and validation of machine learning models for diagnosing hepatocellular carcinoma risk and survival in patients with diabetic cirrhosis.

A Computational Community Blind Challenge on Pan-Coronavirus Drug Discovery Data.

Computational blind challenges offer critical, unbiased opportunities to assess and accelerate scientific progress, as demonstrated by a breadth of br...

Targeting signaling pathways in lymphoma: From molecular mechanisms to clinical breakthroughs.

The treatment paradigm for lymphoma, a highly heterogeneous group of hematologic malignancies, has been revolutionized by the development of therapies...

EXPRESS: A Sentiment Analysis Study for Reflecting Society Insights on COVID-19 Vaccine Mid-Term Side Effects.

Social media discourse has the capacity to influence public perceptions of health-related issues. Understanding how vaccine side effects are discussed...

Applied immunoinformatics in modern vaccine design: a comprehensive review of available computational tools.

The rapid evolution of computational biology has transformed vaccine design from a largely empirical process into a rational, data-driven discipline. ...

Antiviral drug discovery and development: challenges and future directions.

The coronavirus disease 2019 (COVID-19) pandemic has stimulated extensive endeavors toward the development of therapeutic interventions targeting seve...

Fractional order modeling of hepatitis C transmission dynamics with physics-informed neural network solutions.

PeptideNet: An Integrative Deep Learning Framework for Predicting Diverse Bioactive Peptides Using Protein Language Model Embeddings.

Bioactive peptides are multifunctional biomolecules composed of short amino acid sequences that exhibit diverse biological activities, including antio...

Advances in chromatography for biomacromolecules and bioparticles (2019-2024): Focus on materials and industrial applications.

Chromatographic technology is the core of downstream separation and purification of biological macromolecules and bioparticles. In recent years, with ...

AIxBio: Opportunities to Strengthen Health Security.

Artificial Intelligence (AI) has the potential to revolutionize biosecurity, health security, biodefense, and pandemic preparedness by offering ground...

Metabolic factor-based machine learning model for mortality prediction in acute hepatitis E: Development and validation from a dual-center cohort.

BACKGROUND: Hepatitis E virus (HEV) infection remains a major cause of liver failure with high short-term mortality, yet predictive models incorporati...

Prediction of COVID-19 hospitalisation, ICU admission or death following ChAdOx1 vaccination using artificial intelligence: A clinical predictive model from the English RAVEN study.

OBJECTIVES: This study identifies predictors of severe COVID-19 following completion of two-dose primary series of the AZD1222 COVID-19 vaccine, emplo...

Molecular interplay of ASNS and the PI3K-AKT-mTOR pathway in CMV and HIV co-infections: Therapeutic implications.

CMV/HIV coinfection markedly exacerbates disease progression, elevates treatment failure risk, and worsens patient outcomes, yet the underlying molecu...

Active surveillance methods to identify adverse events of special interest (AESIs) following vaccination against pandemic diseases: A scoping review.

INTRODUCTION: Active post-vaccination surveillance is vital for ensuring vaccine safety, particularly in monitoring Adverse Events of Special Interest...

Beyond nature: in vivo production of natural product analogues through programmed biosynthetic pathways.

Natural products are vital sources of medicines, and their analogues hold great promise as novel therapeutics to combat disease more effectively, incl...

AI portal tract detection and characterisation for a regional analysis of steatosis and inflammation in MASLD, MASH and AIH.

AIMS: Annotation of liver biopsies for disease staging is increasingly aided by digital pathology; however, existing systems do not quantify inflammat...

Bacterial Outer Membrane Vesicles in Potentiating Cancer Vaccines: Progress and Prospects.

Cancer immunotherapy is increasingly moving toward personalized, precision-based strategies, with cancer vaccines emerging as a promising approach to ...

CSF proteomics identifies ADGRG1 as a predictive biomarker of intrathecal immune checkpoint inhibitor response in leptomeningeal metastasis.

BACKGROUND: Leptomeningeal metastasis (LM) is a fatal complication of advanced cancer with limited therapeutic options and poor prognosis. Immune chec...

Perception of vaccine myths in daily clinical practice: A survey of healthcare professionals.

Introduction. Misinformation is a barrier to immunization. The objective was to describe and categorize vaccine-related myths reported by healthcare p...