Allergy & Immunology

Allergy

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

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Allergy-Immunology Subcategories: Allergy
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Dew point temperature affects ascospore release of allergenic genus Leptosphaeria.

The genus Leptosphaeria contains numerous fungi that cause the symptoms of asthma and also parasitiz...

An algorithm for the classification of mRNA patterns in eosinophilic esophagitis: Integration of machine learning.

BACKGROUND: Diagnostic evaluation of eosinophilic esophagitis (EoE) remains difficult, particularly ...

DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest.

DNase I hypersensitive sites (DHSs) are genomic regions that provide important information regarding...

Vitamin D Deficiency and Atopic Dermatitis: Consider Disease, Race, and Body Mass.

Vitamin D deficiency causes rickets, but has been associated with various diseases, including atopic...

Air quality monitoring using mobile microscopy and machine learning.

Rapid, accurate and high-throughput sizing and quantification of particulate matter (PM) in air is c...

A robotic system for delivering novel real-time, movement dependent perturbations.

Perturbations are often used to study movement control and balance, especially in the context of fal...

Extended Stability of Epinephrine Hydrochloride Injection in Polyvinyl Chloride Bags Stored in Amber Ultraviolet Light-Blocking Bags.

The objective of this study was to evaluate the stability of epinephrine hydrochloride in 0.9% sodi...

Detection and diagnosis of colitis on computed tomography using deep convolutional neural networks.

PURPOSE: Colitis refers to inflammation of the inner lining of the colon that is frequently associat...

ADMET Evaluation in Drug Discovery. Part 17: Development of Quantitative and Qualitative Prediction Models for Chemical-Induced Respiratory Toxicity.

As a dangerous end point, respiratory toxicity can cause serious adverse health effects and even dea...

Detection of Nocturnal Scratching Movements in Patients with Atopic Dermatitis Using Accelerometers and Recurrent Neural Networks.

Atopic dermatitis is a chronic inflammatory skin condition affecting both children and adults and is...

Computational intelligence applied to discriminate bee pollen quality and botanical origin.

The aim of this work was to develop computational intelligence models based on neural networks (NN),...

pDHS-SVM: A prediction method for plant DNase I hypersensitive sites based on support vector machine.

DNase I hypersensitive sites (DHSs) are accessible chromatin regions hypersensitive to cleavages by ...

and cell-based analyses reveal strong divergence between prediction and observation of T-cell-recognized tumor antigen T-cell epitopes.

Tumor exomes provide comprehensive information on mutated, overexpressed genes and aberrant splicing...

Honey bee hairs and pollenkitt are essential for pollen capture and removal.

While insect grooming has been observed and documented for over one hundred years, we present the fi...

Predicting DPP-IV inhibitors with machine learning approaches.

Dipeptidyl peptidase IV (DPP-IV) is a promising Type 2 diabetes mellitus (T2DM) drug target. DPP-IV ...

An expert system for selecting wart treatment method.

As benign tumors, warts are made through the mediation of Human Papillomavirus (HPV) and may grow on...

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