Allergy & Immunology

Allergy

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

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Allergy-Immunology Subcategories: Allergy
Showing 106-126 of 8,435 articles
Aerosol Measurements and Decadal Changes: The Role of Climatic Changes and How It Reflects in Respiratory Allergies and Asthma.

The causative agents of respiratory allergies are bioaerosols, such as house dust mite feces, pollen...

A review of enhanced biosignature immunotherapy tools for predicting lung cancer immune phenotypes using deep learning.

Cancer has increasingly been recognized as a genetic disease, influenced by lifestyle changes, dieta...

Development of an immune scoring system based on exosome-related gene expression for prognosis and treatment response prediction in breast cancer.

Breast cancer (BC) is a heterogeneous disease with diverse subtypes that influence prognosis and tre...

Unraveling the TEC-associated landscape in hepatocellular carcinoma: a comprehensive study based on multi-omics analyses.

The tumor microenvironment (TME) plays a pivotal role in tumor progression, immune evasion, and ther...

Uncovering Key Features for Predicting Comorbid Chronic Eosinophilic Pneumonia in Chronic Rhinosinusitis via Machine Learning.

BACKGROUND: Chronic eosinophilic pneumonia (CEP) can occur concurrently with chronic rhinosinusitis ...

Revolutionizing breast cancer immunotherapy by integrating AI and nanotechnology approaches: review of current applications and future directions.

Breast cancer (BC) is still the most diagnosed cancer for females with an increased focus on immunot...

Cell death-related signature genes: risk-predictive biomarkers and potential therapeutic targets in severe sepsis.

Sepsis is a systemic inflammatory response syndrome that predisposes to severe lung infections (SeAL...

CT-Based Radiomics for Predicting PD-L1 Expression in Non-small Cell Lung Cancer: A Systematic Review and Meta-analysis.

BACKGROUND AND PURPOSE: The efficacy of immunotherapy in non-small cell lung cancer (NSCLC) is intri...

Disulfide bond-related gene signature development for bladder cancer prognosis prediction and immune microenvironment characterization.

Bladder cancer is the fourth most common malignant tumor in men, with limited therapeutic biomarkers...

Unbiased Quantification of Persistent Postural and Motor Deficits Following Spinal Cord Injury in Mice.

Spinal cord injury (SCI) causes multifaceted postural and motor impairments that are challenging to ...

Biophysical modeling for accurate T cell specificity prediction of viral and tumor antigens.

Accurate predictions of T cell receptor (TCR) specificity remain an important open problem in immuno...

Immunotyping the Tumor Microenvironment Reveals Molecular Heterogeneity for Personalized Immunotherapy in Cancer.

The tumor microenvironment (TME) significantly influences cancer prognosis and therapeutic outcomes,...

Comparative Evaluation of ChatGPT and ChatGLM Performance in Response to Common Queries on Pediatric Atopic Dermatitis.

BACKGROUND: Atopic dermatitis (AD) is a prevalent chronic and recurrent skin condition in children. ...

Baseline Radiomics as a Prognostic Tool for Clinical Benefit from Immune Checkpoint Inhibition in Inoperable NSCLC Without Activating Mutations.

Checkpoint inhibitors (ICIs) are key therapies for NSCLC, but current selection criteria, such as e...

[Current status and trends of perioperative immunotherapy for gastric cancer].

In recent years,immunotherapy,particularly immune checkpoint inhibitors,has been widely used in the ...

High-fidelity in silico generation and augmentation of TCR repertoire data using generative adversarial networks.

Engineered T-cell receptor (eTCR) systems rely on accurately generated T-cell receptor (TCR) sequenc...

Oral ENPP1 inhibitor designed using generative AI as next generation STING modulator for solid tumors.

Despite the STING-type-I interferon pathway playing a key role in effective anti-tumor immunity, the...

Single-cell multimodal analysis reveals tumor microenvironment predictive of treatment response in non-small cell lung cancer.

Non-small cell lung cancer (NSCLC) constitutes over 80% of lung cancer cases and remains a leading c...

Construction and Multi-dimensional Validation of a Lactylation-Related Signature for Glioblastoma Multiforme Prognostic and Therapeutic Purposes.

Glioblastoma multiforme, one of the most malignant types of brain tumor, heavily relies on glycolyti...

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