Flu & URI

Pulmonary function estimation and reliability assessment using hybrid-optimized ensemble learning.

Objective.Pulmonary function tests are central to assessing ventilatory impairment but are often limited by accessibility, repeatability, and patient compliance, particularly in community and longitudinal monitoring settings. This study investigates whether acoustic features of voluntary coughs can serve as low burden surrogate signals reflecting trends in spirometry related indices of ventilatory...

Emerging and Re-Emerging Viral Infections in Poultry: Integrating Traditional and AI-Based Control Strategies.

Poultry production remains significantly challenged by emerging and re-emerging avian viral diseases, which are influenced by host-pathogen interactions, viral evolution, and intensified farming systems. Viruses like avian influenza viruses (AIV) and Newcastle disease virus (NDV) remain the most persistent threats, while chicken anaemia virus (CAV), avian metapneumovirus (aMPV), adenoviruses, and ...

Risk-aware artificial intelligence for translational vaccine design.

Artificial intelligence has accelerated epitope and antigen discovery, but prediction alone cannot determine vaccine readiness. Translational design r...

Somalia's lifeline: Digitalization and AI.

Somalia's fragile health system, strained by decades of conflict, climate shocks, and persistently low immunization coverage, remains dangerously vuln...

Influenza-Like Illness Forecasting Using Multisource Data: Comparative Deep Learning Study.

BACKGROUND: Accurate forecasting of influenza-like illness (ILI) is crucial for public health. Integrating novel digital data streams (eg, internet se...

Real-world analysis of depression-related adverse events associated with the adsorbed anthrax vaccine: integrating pharmacovigilance signals, machine learning risk prediction, and transcriptomic mechanisms.

BACKGROUND: Anthrax remains a life-threatening zoonotic disease in resource-limited settings. Adsorbed anthrax vaccine (AVA, BioThrax) is the only Uni...

Optimising Pharmacovigilance Efficiency with MLIT (Machine Learning for Intelligent Triage): A Tool for Statistical Safety Alerts.

BACKGROUND AND AIM: Pharmacovigilance is essential to ensuring patient safety by enabling timely identification of adverse reactions in increasingly c...

Beyond Accuracy: A Mixed-Methods Audit of Chain-of-Thought Failures in LLM-Based COVID-19 Vaccine Stance Detection.

This mixed-methods study assessed whether reasoning-enabled large language models (LLMs) can classify stances towards COVID-19 vaccination on X (forme...

Modelling the impact of awareness campaigns on HPV transmission dynamics: a neural network-enhanced mathematical model.

HPV is the most common sexually transmitted infection; most sexually active individuals are exposed to HPV at some point in their lives, and the major...

AI-driven Identification of Zika Virus Inhibitors.

Research engaged with AI has dramatically increased due to a huge improvement of technologies in terms of cost and time-effectiveness as well as decre...

Theranostic innovation in infectious lung diseases: integrating biotechnology and nanotechnology for precision medicine.

INTRODUCTION: Introduction: Infectious lung diseases, including pneumonia, tuberculosis (TB), COVID-19, influenza, and emerging fungal infections, are...

AfriTickID: An AI-Assisted Image-Based Approach for Tick Species Identification in Kenya.

Tick-borne diseases such as Lyme disease, tick-borne encephalitis and Crimean-Congo haemorrhagic fever in humans, and East Coast Fever and anaplasmosi...

Engineering Organoid Platforms for Pathogenesis Research.

Emerging and re-emerging infectious diseases ranging from the 1918 H1N1 influenza pandemic to the recent SARS-CoV-2 and monkeypox virus outbreaks cont...

Explainable Machine Learning for Public Health Informatics in HEDIS Childhood Immunization Status Combination 10.

Completion of the HEDIS (Healthcare Effectiveness Data and Information Set) Childhood Immunization Status Combination 10 (Combo 10) measure among US c...

Interferon-Associated Antiviral Programs Define LAG-3+ Exhaustion-Like CD8+ T-Cell Remodeling in Influenza a Virus Infection: An Integrative Single-Cell and Multi-Cohort Analysis.

BACKGROUND: Influenza A virus (IAV) infection induces complex antiviral immune responses, yet how innate sensing, host genetic susceptibility, and ada...

Quorum-sensing, microbiome interactions, and emerging artificial intelligence-assisted anti-virulence strategies in Salmonella Typhi: a critical review of translational opportunities and challenges.

Typhoid fever, caused by Salmonella enterica subsp. enterica serovar Typhi (Salmonella Typhi), remains a significant global health challenge that is i...

Adaptive ventilation based on cough detection and localization for airborne infection control in vehicles.

Cough-generated pathogen-laden aerosols can lead to airborne transmission of infectious diseases inside vehicle cabins, where occupants share a confin...

ViralMap: predicting features in viral proteins from primary sequence.

Modern viral vaccines are designed to elicit an immune response against viral proteins that mediate infection, making those proteins important targets...

Machine learning models identify prognostic factors in systemic lupus erythematosus patients with epstein-barr virus infection.

OBJECTIVE: To identify poor prognostic factors in Epstein-Barr virus (EBV)-positive systemic lupus erythematosus (SLE) using interpretable machine-lea...

Machine learning reveals temperature as a key predictor of dengue risk across Thailand's provinces: A 20-year analysis.

BACKGROUND: Dengue fever remains a critical public health challenge in Thailand, with transmission dynamics driven by complex interactions between env...