Flu & URI

Application of Emerging Technologies in the Antiviral Field.

Viral diseases pose a serious threat to global public health, agriculture, and biosecurity. Conventional antiviral strategies are often limited by an incomplete understanding of disease mechanisms, poor targeting precision, and slow response times. Emerging technologies are now reshaping the landscape of antiviral research. This review examines the roles of four key frontiers, including organoid m...

Immunoproteomic Profiling of Autoantibodies and Antibodies against Infectious Agents in Autoimmune Diseases.

Prior research investigated limited antibody sets within individual autoimmune diseases. Using the Nucleic-Acid Programmable Protein Array platform, we measured antibodies against 280 human, 40 viral, and 15 bacterial antigens in serum from 237 patients with 8 autoimmune diseases, including autoimmune gastritis (AG), autoimmune thyroiditis (AT), celiac disease (CD), idiopathic inflammatory myopath...

Adaptive NLI-Driven Claim Verification with Statistical Decision Modeling for Low-Latency Hallucination Reduction in Large Language Models.

Large Language Models (LLMs) exhibit a critical tendency to generate factually incorrect yet linguistically fluent outputs - a phenomenon termed hallu...

Temporal validation of machine-learning models for shingles vaccine nonvaccination among U.S. adults aged 50 years and older.

BACKGROUND: Herpes zoster vaccination is recommended for U.S. adults aged 50 years and older, yet many remain unvaccinated. Prior National Health Inte...

Cough Hypersensitivity in Gastroesophageal Reflux-Induced Chronic Cough: Insights from Reflux Monitoring and High-Resolution Manometry.

BACKGROUND: Cough hypersensitivity contributes to the heterogeneity of gastroesophageal reflux-induced chronic cough (GERC), but its associated factor...

Cross-protective human antibodies against the Mpox virus discovered through structure-guided screening.

Mpox virus (MPXV) poses an increasing global health threat, as underscored by two World Health Organization declarations of Public Health Emergencies ...

Intrarenal pressure monitoring in retrograde intrarenal surgery for high-infectious risk populations.

PURPOSE: To evaluate the feasibility of real-time intrarenal pressure (IRP) monitoring using the LithoVue™ Elite (LVE) ureteroscope and assess postope...

Microphysiological immune-on-chip systems: engineering human immunity for precision immunotherapy, vaccine development, and autoimmune disease modelling.

Microphysiological immune-on-chip systems have emerged as transformative biomedical microdevices capable of recreating the structural, biochemical, an...

Differential Diagnosis of Asthma and COPD: Established and Emerging Biomarkers and Technologies.

Asthma and chronic obstructive pulmonary disease (COPD) represent the two most prevalent chronic respiratory conditions worldwide, affecting hundreds ...

Machine learning-assisted design of a dendritic cell nanovaccine inducing twin immunity against monkeypox.

The global emergence of monkeypox virus (MPXV) has created an urgent need for effective vaccines that induce robust immune responses. Here, we report ...

When Deepfakes Meet Herd Immunity: Artificial Intelligence, Vaccine Avoidance, and the Next Infodemic Threat.

Vaccination remains among the most effective public health interventions, but its impact increasingly depends on public trust and a reliable informati...

Naïve adaptive immune receptor repertoires in celiac disease assessed by machine learning; impact of the HLA-DQ2.5 allotype on the TCR repertoire.

The adaptive immune receptor repertoire (AIRR) - the collection of an individual's B-cell and T-cell receptors (BCRs and TCRs, respectively) - encodes...

Can host genetics transform the sustainable control of tropical theileriosis? Insights from the Tick-Theileria interface.

Tropical theileriosis, caused by the tick-transmitted apicomplexan parasite Theileria annulata, remains a major constraint on cattle production across...

Improved Deep Learning Segmentation of Pediatric Diffuse Midline Gliomas After Treatment.

PURPOSE: To develop and validate a pediatric diffuse midline glioma (DMG) auto-segmentation tool optimized for longitudinal treatment response assessm...

Artificial intelligence (AI)-enabled platforms for cancer vaccine engineering.

Cancer vaccines are emerging as a promising approach in immuno-oncology, with the potential to generate tumour-specific and long-lasting immune respon...

Current State and Impact of Implementation of In-Silico Tools in the Biopharmaceutical Industry - Proceedings of the 6th Modeling Workshop.

The sixth modeling workshop (6MW) was held in June 2025 at Collegeville, Pennsylvania, USA, and supported by the Recovery of Biological Products Confe...

Pre-pandemic preventive healthcare engagement and all-cause excess mortality during COVID-19: a county-level ecological study in the United States.

OBJECTIVE: Community resilience during COVID-19 has been linked to social conditions, public-health capacity, and acute-care resources, but the contri...

Neoantigen in cancer immunotherapy: mechanism, therapeutic strategies and future perspectives.

Neoantigens are tumor-specific antigens resulting from genetic, transcriptomic, and proteomic changes, making them a promising avenue for personalized...

Distinguishing common respiratory pathogens using machine learning of symptom profiles to prioritize diagnostic testing.

Clinical symptoms are critical for diagnosing and managing upper respiratory tract infections, yet systematic comparisons across common pathogens rema...

Temporal shifts in public perceptions of influenza and its vaccine before, during, and after COVID-19 in a fragile nation.

BACKGROUND: Since the emergence of the COVID-19 pandemic, co-infection with COVID-19 and influenza has been associated with adverse health and economi...