Infectious Disease

Molecular Detection Technologies for Helicobacter pylori Antibiotic Resistance: Current Status and Clinical Implications.

Helicobacter pylori (H. pylori) infects approximately half of the global population and is closely l...

Targeting phenol-soluble modulins: eco-friendly theragnostic strategies against Staphylococcus aureus biofilms.

The growing resistance to antibiotics by Staphylococcus aureus and methicillin-resistant Staphylococ...

Programmable bacterial vaccine vectors: A Design-Build-Control framework for precision immune engineering.

Live bacterial vectors combine intrinsic adjuvanticity, mucosal targeting, and programmable antigen ...

Information quality, understandability, actionability and readability of large language models for HIV health education: A cross-platform evaluation.

OBJECTIVES: Large language models (LLMs) are increasingly used to generate health education material...

Pilot study of a ChatGPT-based educational and counselling tool in a specialist HIV and sexual health clinic.

OBJECTIVES: Real-world implementation of large language models such as ChatGPT to enhance patient ed...

Emerging Lipid Nanoparticle Targeting Strategies for Extrahepatic Delivery of RNA Therapeutics.

Lipid nanoparticles (LNPs) have transformed RNA therapeutics through their high delivery efficiency,...

Microalgae-based removal and biodegradation of antibiotics: mechanisms, synergistic consortia, and engineering prospects.

Antibiotic pollution in aquatic environments drives the spread of resistance genes and threatens eco...

Tissue-specific antibacterial and anti-biofilm activities of Penthorum chinense Pursh: integration of metabolomics and Random Forest machine learning.

Penthorum chinense Pursh is a traditional medicinal and edible plant rich in flavonoids and complex ...

Optimized Deep Knowledge Distillation Framework for Large-Scale Virus-Host Protein Interaction Prediction.

BACKGROUND: In a rapidly evolving viral landscape, understanding virus-host protein interactions (VH...

Clinical Immunogenicity Assessment of HIV/AIDS Vaccines: Current Progress and Future Perspectives.

Developing a safe and effective HIV-1 vaccine remains the cornerstone of global efforts to terminate...

When Is Travel-Health AI Inference Transportable? Mobility-Conditioned Admissibility for Cross-Border Disease Risk and Decision Support.

BACKGROUND: Artificial intelligence is increasingly used for infectious disease surveillance, travel...

Uncovering Spatially Heterogeneous Predictors of Reported Malaria Cases in the Ashanti Region of Ghana: A Triangulated Framework Integrating Correlation Analysis, Random Forest, and Multiscale Geographically Weighted Regression.

INTRODUCTION: Malaria remains a major cause of illness and death in sub-Saharan Africa. In 2023, WHO...

Diagnostic and antimicrobial stewardship programs for the management of infectious diseases in the era of artificial intelligence.

From HPV infection to cervical precancer: Molecular mechanisms, immune microenvironment and emerging technologies.

Cervical cancer remains a leading cause of cancer-related mortality among women globally, with persi...

Building and Validating a Data-Governance Workflow for Artificial Intelligence-Based Tuberculosis Detection from Chest Radiographs, and Quantifying the Impact of Data Leakage.

Studies applying artificial intelligence (AI) to tuberculosis (TB) detection from chest radiographs ...

The advances and challenges of mRNA-LNP application in fields of hematology and oncology therapeutics.

The rapidly global deployment of COVID-19 mRNA-LNP vaccines established the clinical feasibility of ...

Alternative and Synergistic Strategies Against Antibiotic-Resistant Staphylococcus aureus in Clinical and Environmental Settings.

Antimicrobial resistance (AMR) in Staphylococcus aureus (S. aureus) poses a serious global health th...

Machine learning and network pharmacology-assisted discovery of natural product inhibitors targeting Plasmodium falciparum lysyl-tRNA synthetase.

The emergence of drug-resistant Plasmodium falciparum necessitates novel antimalarial strategies. Ly...

DRAMP 5.0: an update integrating sequence and structure in a novel FASTS format for AI-driven design of antimicrobial peptides.

Antimicrobial peptides (AMPs) represent promising candidates for combating multidrug-resistant bacte...

Predicting Mammal Species Suitable for Chagas Disease Spread Using a Machine-Learning Framework.

Understanding which mammalian species participate in the sylvatic cycle of Trypanosoma cruzi is vita...

Landscape of small molecules derived from marine sources and their clinical progression.

1. Marine organisms have fascinated scientists with their unique and unparalleled biodiversity and t...