Allergy & Immunology

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

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Showing 1177-1197 of 5,423 articles
Discrimination of Brazilian propolis according to the seasoning using chemometrics and machine learning based on UV-Vis scanning data.

Propolis is a chemically complex biomass produced by honeybees (Apis mellifera) from plant resins ad...

Neuro-fuzzy classification of asthma and chronic obstructive pulmonary disease.

BACKGROUND: This paper presents a system for classification of asthma and chronic obstructive pulmon...

Identification of novel Xanthomonas euvesicatoria type III effector proteins by a machine-learning approach.

The Gram-negative bacterium Xanthomonas euvesicatoria (Xcv) is the causal agent of bacterial spot di...

Pathology Image of the Month:Cough and Shortness of Breath in a Noncompliant Patient with HIV/AIDS.

A 37- year-old man with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) w...

Enzymatic treatment of soy protein isolates: effects on the potential allergenicity, technofunctionality, and sensory properties.

Soybean allergy is of great concern and continues to challenge both consumer and food industry. The ...

RAIRS2 a new expert system for diagnosing tuberculosis with real-world tournament selection mechanism inside artificial immune recognition system.

Tuberculosis is a major global health problem that has been ranked as the second leading cause of de...

FoodWiki: Ontology-Driven Mobile Safe Food Consumption System.

An ontology-driven safe food consumption mobile system is considered. Over 3,000 compounds are being...

Prediction of drug-induced eosinophilia adverse effect by using SVM and naïve Bayesian approaches.

Drug-induced eosinophilia is a potentially life-threatening adverse effect; clinical manifestations,...

Machine learning methods enable predictive modeling of antibody feature:function relationships in RV144 vaccinees.

The adaptive immune response to vaccination or infection can lead to the production of specific anti...

Selective determination of dimenhydrinate in presence of six of its related substances and potential impurities using a direct GC/MS method.

A novel simple, direct and selective gas chromatography-mass spectrometry (GC/MS) procedure was deve...

To err is robotic, to tolerate immunological: fault detection in multirobot systems.

Fault detection and fault tolerance represent two of the most important and largely unsolved issues ...

Robot-assisted therapy for improving social interactions and activity participation among institutionalized older adults: a pilot study.

INTRODUCTION: Animal-assisted therapy is gaining popularity as part of therapeutic activities for ol...

Univariate versus multivariate approaches for resolving the overlapped spectra of azelastine hydrochloride and mometasone furoate.

Azelastine hydrochloride (AZE) and Mometasone furoate (MOM) combination is used to treat allergic rh...

Targeting high-risk multiple myeloma genotypes with optimized anti-CD70 CAR T cells.

Despite the success of B-cell maturation antigen (BCMA)-targeting chimeric antigen receptor (CAR) T ...

Class and isotype of VlsE-specific antibody differentiates Lyme disease stage.

UNLABELLED: Establishment of immunoglobulin diversity is contingent on recombination that occurs bot...

Broadly active intranasal influenza vaccine with a nanocomplex particulate adjuvant targeting mast cells and toll-like receptor 9.

Flumist is the only FDA-approved intranasal influenza vaccine. Although it has recently been approve...

From Text to Knowledge: An End-To-End Extraction Pipeline for Clinical Information.

This study explores the use of Large Language Models (LLMs) in extracting and structuring allergic r...

The Critical Role of APOE+ Macrophages in the Immune Microenvironment and Prognosis of Lung Adenocarcinoma.

The immunoregulatory functions and clinical implications of APOE+ macrophages within the tumour micr...

Glucagon-like Peptide-1 Receptor Agonists in Asthma Exacerbations: An Application of High-Dimensional Iterative Causal Forest to Identify Subgroups.

BACKGROUND: Glucagon-like Peptide-1 Receptor Agonists (GLP1RA) may reduce asthma exacerbation (AE) r...

PD-L1 expression assessment in Angiosarcoma improves with artificial intelligence support.

Tumoral PD-L1 expression is assessed to weigh immunotherapy options in the treatment of various type...

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