Flu & URI

The use of artificial intelligence in decreasing vaccine skepticism and hesitancy.

PURPOSE OF REVIEW: Recent advances in artificial intelligence (AI) coincide with decreases in confidence in vaccines. This review examines studies that analyze and mitigate vaccine skepticism by implementing artificial intelligence strategies in various ways. RECENT FINDINGS: Studies have explored public attitudes towards vaccines using AI to analyze language in social media postings and interacti...

A novel hypothetical protein (SAUSA300_1684) confers excellent protection against multi-drug-resistant Staphylococcus aureus infection in the murine model.

Staphylococcus aureus is a leading cause of nosocomial infections, including sepsis, bacteraemia, pneumonia, and endocarditis, and continues to pose a major public health challenge due to escalating multidrug resistance and the absence of an effective vaccine. To address this unmet clinical need, we employed a machine learning-guided reverse vaccinology approach to systematically interrogate the S...

Development of a Patient-Specific Fontan Failure Risk Calculator Using Machine Learning - A Step Towards Personalized Medicine.

OBJECTIVE: The Fontan operation is the final step in staged palliation for patients with single ventricle physiology. It has extended their life expec...

To see or not to see the vet: A vignette-based study of decision-making by UK dog owners regarding seeking veterinary care for commonly presenting conditions.

Barriers to accessing veterinary-care for dog-owners are diverse and dynamic, and widely accepted as major canine welfare threats because of potential...

Complex Interactions Between Stress, Nutrition, Gut Microbiota, and Infectious Diseases and Their Impact on Health in Global Conflicts: A Narrative Review.

Following the global recovery from the COVID-19 pandemic, wars and conflicts have escalated to levels unseen since the Cold War. It is well known that...

TCR representation learning with protein language models: a comprehensive review.

The T-cell receptor (TCR) repertoire is a valuable source of information that reflects an individual's immune status and infection history. However, d...

Comprehensive review on immunotherapy for hepatocellular carcinoma: Current status and future perspectives.

Hepatocellular carcinoma (HCC), the most common form of primary liver cancer, remains a major global health concern due to its high incidence and mort...

Integrating deep-learning methods and web-based data sources for surveillance, forecasting and early warning of avian influenza.

Highly pathogenic avian influenza (HPAI), especially the H5N1 subtype has caused repeated global outbreaks, primarily affecting birds, but occasionall...

Communicable diseases platform (CDP): Real-Time clinical analytics for infections.

OBJECTIVE: Communicable diseases, especially seasonal respiratory illnesses, contribute significantly to paediatric hospital presentations and admissi...

Integrated region-specific modeling of H5 avian influenza in Asia using ENSO-based forecasts.

Highly pathogenic avian influenza (HPAI), particularly of the H5 subtype, remains a persistent threat to poultry, wildlife, and public health across A...

Advances in melanoma immunotherapy: harnessing vaccination as a potential novel immunotherapeutic strategy.

Melanoma, an aggressive form of skin cancer, demands innovative immunotherapeutic strategies to improve patient outcomes. This review explores recent ...

Developing an artificial intelligence-powered question-and-answer chatbot with English-Spanish capabilities for new mothers.

OBJECTIVES: Generative AI chatbots are revolutionizing health education by making complex information more accessible to the public. However, their us...

Dengue fever prediction based on meteorological features and deep learning models.

The dengue fever epidemic is one of the health priorities of the World Health Organization (WHO), and accurately predicting its epidemiological trends...

Molecular diagnostics in clinical microbiology: Advances, applications, and future directions.

Molecular diagnostics have transformed clinical microbiology by enabling rapid, accurate, and highly sensitive detection of infectious agents, signifi...

Machine learning-driven discovery of celastrol as an anti-inflammatory therapy suppressing NETs in severe influenza.

Comparative analysis of SUMO and his-tag fusion for soluble expression of the SARS-CoV-2 omicron RBD in E. coli.

The soluble expression of the SARS-CoV-2 Receptor-Binding Domain (RBD) is fundamental for manufacturing protein-based countermeasures. Although E. col...

Wildfire smoke and dengue burden in Brazil: Evidence from a nationwide study.

Wildfire fine particulate matter (PM2.5) is an emerging health concern, yet its effects on mosquito-borne diseases, particularly dengue, remain unclea...

Artificial intelligence in chronic obstructive pulmonary disease: recent advances in imaging and physiological monitoring.

PURPOSE OF REVIEW: Chronic obstructive pulmonary disease (COPD) is a leading cause of worldwide morbidity and mortality, yet significant barriers in i...

Dengue forecasting and outbreak detection in Brazil using LSTM: integrating human mobility and climate factors.

BACKGROUND: Dengue fever is a major global health concern, with Brazil experiencing recurrent and severe outbreaks due to its favorable climate factor...

Diagnosis of Acute, Chronic (with and without Nasal Polyps), and Fungal Sinusitis.

Rhinosinusitis is a spectrum of diseases with varied causes, presentations, and diagnostic approaches-from viral and bacterial acute rhinosinusitis to...