Allergy & Immunology

Latest AI and machine learning research in allergy & immunology for healthcare professionals.

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Showing 1-21 of 5,393 articles
Fifty years of monoclonals: the past, present and future of antibody therapeutics.

In 1975, Köhler and Milstein invented hybridoma technology for the generation of murine monoclonal a...

From innovation to implementation: strengthening anterior ocular inflammatory surface diseases diagnostics through global health policy.

PURPOSE OF REVIEW: Dry eye disease (DED), allergic conjunctivitis (AC), and infectious conjunctiviti...

Non-invasive acoustic classification of adult asthma using an XGBoost model with vocal biomarkers.

Traditional diagnostic methods for asthma, a widespread chronic respiratory illness, are often limit...

Function of chemokines in embryo implantation.

Embryo implantation centrally involves the maternal immune system's specific acceptance of the semi-...

Neoantigen-driven personalized tumor therapy: An update from discovery to clinical application.

Neoantigens exhibit high immunogenic potential and confer a uniqueness to tumor cells, making them i...

Identification of Cuproptosis-Related Gene Clusters in Behçet's Disease and Its Immunological Profiles by Bioinformatics Analysis.

BACKGROUND AND AIMS: Behçet's disease (BD) is a chronic inflammatory vasculitis marked by immune cel...

The Predictive Value of Serum Total IgE for Antihistamine Treatment Outcomes in Chinese Patients with Chronic Spontaneous Urticaria.

Chronic spontaneous urticaria is a common skin disorder with variable treatment responses. Second-ge...

Integrating genomic and pathological characteristics to enhance prognostic precision in advanced NSCLC.

Although immunotherapy combined with chemotherapy (ICT) is the standard treatment for advanced non-s...

Selenium biofortification: integrating one health and sustainability.

Selenium (Se) biofortification in crops has emerged as a promising strategy to address global Se def...

Automated identification of honey bee pollen loads for field-applied palynological studies.

In a changing world, it is crucial to characterise communities and their evolution over time. Becaus...

Multimodal deep learning for allergenic proteins prediction.

BACKGROUND: Accurate prediction of allergens is essential for identifying the sources of allergic re...

Integrative network pharmacology and multi-omics reveal anisodamine hydrobromide's multi-target mechanisms in sepsis.

Sepsis, marked by hyperinflammation and subsequent immunosuppression, lacks effective phase-specific...

Mitochondrial Pathway Signature (MitoPS) predicts immunotherapy response and reveals NDUFB10 as a key immune regulator in lung adenocarcinoma.

BACKGROUND: Lung adenocarcinoma (LUAD) is the most common subtype of non-small cell lung cancer. Alt...

Multitask deep learning for the emulation and calibration of an agent-based malaria transmission model.

Agent-based models of malaria transmission are useful tools for understanding disease dynamics and p...

Why Protein Modifications Matter for Digestibility: The Case of Ara h 1 Peanut Allergen and Trypsin Cleavage.

Trypsin is the principal intestinal endopeptidase and proteomics digestion tool, yet the impact of p...

Pan-cancer Analyses Refine the Single-Cell Portrait of Tumor-Infiltrating Dendritic Cells.

Dendritic cells (DCs) are pivotal orchestrators of anti-tumor immunity. DC-based anti-tumor treatmen...

CTSS in the tumor microenvironment links immune escape and immunotherapy sensitivity in kidney renal clear cell carcinoma.

The tumor microenvironment (TME) of kidney renal clear cell carcinoma (KIRC) exhibits complex dynami...

Unsupervised identification of asthma symptom subtypes supports treatable traits approach.

BACKGROUND: Heterogeneity of asthma requires a personalized therapeutic approach. However, objective...

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