Allergy & Immunology

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

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Showing 22-42 of 5,393 articles
Gut microbiota and SCFAs improve the treatment efficacy of chemotherapy and immunotherapy in NSCLC.

The role of gut dysbiosis in shaping immunotherapy responses is well-recognized, yet its effect on t...

A comprehensive analysis through Mendelian randomization of immunological markers and sphingolipid metabolism.

BACKGROUND: Lung cancer pathogenesis involves complex interactions between immune system components ...

Can a Rule-Based Expert System Diagnose Nasal Obstruction from Nasoendoscopy Videos?

Nasal obstruction has multiple causes requiring specialist endoscopy for diagnosis. A rule-based exp...

Predicting Mechanosensitive T Cell Expansion from Cell Spreading.

Variability in T cell performance presents a major challenge to adoptive cellular immunotherapy (ACT...

Investigation of key ferroptosis-associated genes and potential therapeutic drugs for asthma based on machine learning and regression models.

Bronchial asthma is a complex and heterogeneous disease, with ferroptosis, a form of non-apoptotic c...

Proactive recognition and early detection in communities through targeted HIV screening.

Human Immunodeficiency Virus (HIV) remains a critical public health concern, and is a significant gl...

Comparison of machine learning models to predict loss to follow-up among people with Human Immunodeficiency Virus (HIV).

OBJECTIVE: To compare different machine learning models of loss to follow-up among people with HIV (...

Explainable deep learning for stratified medicine in inflammatory bowel disease.

Moving from a one-size-fits-all to an individual approach in precision medicine requires a deeper un...

Machine-learning driven strategies for adapting immunotherapy in metastatic NSCLC.

Immune checkpoint inhibitors (ICIs), either as monotherapy (ICI-Mono) or combined with chemotherapy ...

Beyond the native repertoire.

Design of T cell receptors by artificial intelligence is poised to accelerate cancer immunotherapy.

T cell engagers: expanding horizons in oncology and beyond.

BACKGROUND/INTRODUCTION: T cell engagers (TCEs) are engineered immunotherapeutic molecules designed ...

Machine Learning-Enhanced Single-Particle Tracking for Rapid Screening of Tumor Immunomodulatory Drugs.

The tumor microenvironment plays a critical role in tumor progression and immune response, with the ...

Artificial intelligence in smartphone video analysis for equine asthma diagnostic support.

BACKGROUND: Equine asthma is a prevalent respiratory disease that negatively impacts horses' health ...

Advances in Nature-Inspired Particles for Bioanalytical Applications.

Nature has evolved sophisticated prototypes to achieve functions from efficient separation to select...

AI Prognostication in Nonsmall Cell Lung Cancer: A Systematic Review.

The systematic literature review was performed on the use of artificial intelligence (AI) algorithms...

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