Infectious Disease

Flu & URI

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

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Showing 43-63 of 4,777 articles
Integrating machine learning and data-driven modelling: predicting dengue outbreaks and revealing spatially heterogeneous climatic drivers in Brazil.

Dengue fever poses a major global health threat, with Brazil experiencing severe recurrent outbreaks...

(2)
Sep 2026 42744318
Deterministic and ANN-based modelling of measles transmission using real epidemiological data.

This study aims to develop a nonlinear SVLIQR epidemic model to investigate measles transmission dyn...

(1)
Sep 2026 42744821
Climate Informed Dengue Prediction and Future Risk Under a Changing Monsoon Climate in Kerala, India.

Dengue fever has emerged as a major public health threat in India, with its burden projected to rise...

(1)
Sep 2026 42751262
Immunopeptidomics-guided cancer vaccine design: Advances, challenges, and emerging opportunities.

Selecting clinically relevant tumor antigens remains a major challenge in the development of therape...

(2)
Sep 2026 42743775
A machine learning approach for differential classification of chikungunya virus: an explainable AI study based on surveillance data.

PURPOSE: Mosquito-borne viral diseases such as chikungunya usually present similar clinical symptoms...

(1)
Sep 2026 42734738
Development of an AI-Based Smartphone Application for Rapid Tick Identification and Geospatial Mapping: A Pilot Study.

Tick-borne diseases, particularly spotted fever group rickettsioses in the western regions of Japan,...

(1)
Sep 2026 42735788
Therapeutic cancer vaccines: development, challenges, and future perspectives.

Therapeutic cancer vaccines are designed to induce tumor-specific immunity and durable antitumor sur...

(2)
Sep 2026 42736453
Nipah virus in the era of global connectivity: molecular evolution, transmission risk, and preparedness strategies.

Nipah virus (NiV) is a highly pathogenic zoonotic RNA virus belonging to the genus Henipavirus withi...

(1)
Sep 2026 42732490
Structural evolution of ionizable lipids for nucleic acid delivery.

Ionizable lipid nanoparticles have emerged as a potent non-viral delivery platform for nucleic acid ...

(1)
Sep 2026 42728430
Evolving landscape of paediatric sepsis: progress, gaps and the next generation of tools.

Paediatric sepsis remains a major cause of childhood mortality worldwide, despite substantial change...

(3)
Sep 2026 42727989
Sex and age differences in antibody responses to seasonal influenza vaccination are mediated by estrogenic upregulation of NF-κB and TNF signaling in B cells.

UNLABELLED: Sex differences in the humoral immune responses to the seasonal quadrivalent influenza v...

(3)
Sep 2026 42720319
NeoGen-BC: A synergistic framework combining generative protein language models and multi-window deep learning for designing shared neoantigens in breast cancer.

Breast cancer, particularly hormone receptor-positive (HR+) and triple-negative (TNBC) subtypes, is ...

(5)
Sep 2026 42721858
Machine learning-assisted mRNA vaccine pharmacovigilance: a systematic review of multi-source real-world data.

BACKGROUND: The rapid deployment of mRNA vaccines during the COVID-19 pandemic exposed limitations i...

(2)
Sep 2026 42717339
Digital twins and explainable AI across the vaccine life cycle: from mRNA manufacturing to thermostability, cold-chain logistics, and immunisation services.

The COVID-19 era accelerated the deployment of mRNA vaccines while exposing persistent weaknesses in...

(3)
Sep 2026 42705167
Application of Emerging Technologies in the Antiviral Field.

Viral diseases pose a serious threat to global public health, agriculture, and biosecurity. Conventi...

(2)
Sep 2026 42700916
Immunoproteomic Profiling of Autoantibodies and Antibodies against Infectious Agents in Autoimmune Diseases.

Prior research investigated limited antibody sets within individual autoimmune diseases. Using the N...

(2)
Sep 2026 42695874
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 linguis...

(1)
Sep 2026 42695570
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