Flu & URI

Overcoming gastrointestinal mucosal barriers: Mechanistic innovations and technical advances in mucosal targeting strategies for animal oral vaccines.

Infectious diseases caused by pathogenic microorganisms (such as Escherichia coli, Avian influenza virus (AIV), Rotavirus, etc.) that primarily invade through mucosal surfaces like the digestive tract and respiratory tract not only severely restrict the development of the livestock and poultry breeding industry, resulting in huge economic losses, but also threaten public health security due to the...

Climate predictors of child undernutrition: Insights from a machine learning model.

BACKGROUND: Climate variability is increasingly recognized as a driver of child undernutrition, yet the non-linear relationships between specific climatic variables and nutrition remain unclear. This study uses machine learning to identify and quantify key climatic predictors of undernutrition among children. METHODS: In a mixed-method approach, a cross-sectional study assessed nutrition and child...

Machine learning framework for early detection of polio outbreaks from acute flaccid paralysis surveillance data.

Poliomyelitis remains a global public health concern despite remarkable progress toward eradication. The continued circulation of vaccine-derived poli...

Cross-Cultural Differences in Public Discourse on COVID-19 Vaccination in the United States and South Korea: Cross-Sectional Analysis Using Natural Language Processing.

BACKGROUND: The COVID-19 vaccine was introduced as a crucial tool to combat the pandemic. However, concerns about its effectiveness, side effects, and...

Development of machine-learning models to diagnose influenza among international travellers based on symptoms and epidemiological information.

INTRODUCTION: The importation of infectious diseases has increased dramatically in recent years. The diagnosis of such diseases has traditionally been...

Real-time digital prescriptions unlock influenza dynamics: evidence from 21 million transactions.

Traditional influenza surveillance suffers from 1-2 week reporting delays that compromise outbreak response. We analyzed 21.08 million digital prescri...

Exploring the impact of reimbursement ratios on willingness to vaccinate: A mixed-effects modeling approach using panel data.

Vaccination remains one of the most cost-effective methods for disease prevention. However, utilization of self-paid vaccines, including EV71, varicel...

AI-Driven Internet of Things (IoT) dataset for remote health monitoring and fall detection in elderly people.

Many older adults live with one or more chronic conditions that require ongoing monitoring. At the same time, the aging population continues to grow, ...

Host-focused immunity, metabolism, and diagnostic innovation for precision control of tuberculosis globally.

Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), remains one of the deadliest infectious diseases worldwide. Despite advances in treatme...

Potent efficacy of an NA-targeting antibody against a broad spectrum of H5N1 influenza viruses.

For nearly 30 years, Goose/Guangdong-derived highly pathogenic avian influenza H5N1 viruses have posed significant risks to economic stability, food s...

Transformer-based multidimensional feature fusion for accurate prediction of lipid nanoparticles transfection efficiency.

RNA-based technologies have demonstrated significant potential for diverse applications, ranging from vaccination to gene editing. However, their wide...

AI-Powered Detection of Cutaneous Involvement in Familial Mediterranean Fever.

An attention-driven framework for drug repurposing against human metapneumovirus: Integrating predictive modeling with docking validation.

Human metapneumovirus (HMPV) is a member of the Paramyxoviridae family of viruses and has been associated with significant morbidity and mortality in ...

A device-invariant multi-modal learning framework for respiratory disease classification.

Recent advances in cough sound analysis using deep learning techniques enable smartphone-based respiratory disease screening suitable for self-managem...

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...

Non-pharmacological treatment of AECOPD.

Acute exacerbations of chronic obstructive pulmonary disease (AECOPDs) are acute events characterized by rapid worsening of dyspnea, cough, and sputum...

Predicting low oxygen in patients with acute COVID-19 infection isolating at home: a clinical prediction model.

RATIONALE: Identifying patients who could be safely managed at home versus those needing hospitalisation was a particular concern during early COVID-1...

The rise of artificial intelligence in respiratory primary care and pulmonology: a scoping review.

Artificial intelligence (AI) is rapidly advancing respiratory disease management, from diagnosis to population lung health. This scoping review synthe...