Infectious Disease

Flu & URI

Latest AI and machine learning research in flu & uri for healthcare professionals.

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Showing 1051-1071 of 4,777 articles
Regional and Temporal Patterns of COVID-19 Vaccine Misinformation in Sub-Saharan Africa

BackgroundDespite a global rollout of COVID-19 vaccines, Sub-Saharan Africa lagged behind other regi...

Structure-aware deep learning predicts influenza antigenicity and guides vaccine strain recommendation

The continuous accumulation of genetic mutations in influenza A viruses (IAVs) drives antigenic drif...

Rapid diagnosis of fever etiology using wearable temperature monitoring and machine learning

Introduction. Distinct temperature patterns have long been recognized to correlate with fevers of di...

Learning shared forecast-error structure to improve ensemble forecasts of seasonal respiratory outbreaks

Real-time forecasts of seasonal respiratory outbreaks are critical for public health preparedness an...

SemVac: A Semantic Vaccinology Paradigm Powered by LLMs for Antigen Discovery

Reverse vaccinology has enabled sequence-based antigen discovery, but it overlooks the rich semantic...

Global co-hotspots of dengue, malaria, and yellow fever: a comparative spatiotemporal analysis across 142 countries

Abstract Dengue, malaria, and yellow fever remain major mosquito-borne public health threats in trop...

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Beyond isolated cough events: AI-based tuberculosis screening through temporal analysis of cough sounds

Tuberculosis (TB) is a major global health challenge, with many cases remaining undiagnosed due to l...

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Learned Immune Architectures of Durable Antibody Responses Across Vaccines

Vaccination is one of the most effective public health interventions. However, vaccine efficacy vari...

Machine learning-based predictive clinical model for Shigella spp. infection in children with diarrhea

Diarrheal disease remains a significant cause of morbidity and mortality in children under five year...

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Automating neoantigen selection for personalized cancer vaccine design

Advancements in immunogenomics and immuno-oncology have enabled the development of personalized canc...

EpiESM-GA: Resource-Efficient Protein Foundation Model Features for Equitable B-Cell Epitope Prediction

Prediction of B-cell epitopes can assist in reducing costly wet-lab screening in vaccine design, dia...

Inferring and Predicting Clade-Level Relative Transmission Fitness in Seasonal Influenza A Using Differential Population Growth Rate and Deep Learning

Seasonal influenza A evolves rapidly, allowing newly emerged clades to replace previously dominant l...

A Decade of the Center for Disease Control and Prevention's FluSight Influenza Forecasting

Since the U.S. 2013/14 influenza season, the CDC's FluSight Challenge has provided a platform for ev...

Ignet 2.0 and Vignet: An Ontology-Driven Web Platform for Biomedical Gene Interaction Discovery and Visualization

Background: The expansion of biomedical literature demands systematic ontology-guided discovery of g...

A scutum-focused deep learning pipeline for species-level identification of Aedes aegypti and Aedes albopictus from citizen-science images

Background. Mosquito-borne diseases transmitted by Aedes aegypti and Aedes albopictus, including den...

Interpreting the WaveSeekerNet model to reveal the evolution and biology of influenza A virus

Background Influenza A virus (IAV) is a major public health burden, causing seasonal epidemics and o...

From naive to foundation: benchmarking models for epidemic forecasting

We systematically evaluate and compare the performance of classical statistical methods (ARIMA), mec...

Deep Learning-Based Structure Modeling of the Treponema pallidum Proteome: Insights into Pathogenesis and Syphilis Vaccine Development

Treponema pallidum ssp. pallidum, the causative agent of syphilis, has a small proteome and encompas...

Interpretable sequence-based machine learning consolidates candidate H3N2 hemagglutinin antigenic sites

Vaccine strain selection for seasonal influenza A(H3N2) depends on knowing which hemagglutinin (HA) ...

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