Allergy & Immunology

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

5,463 articles

Subcategories: Allergy

Showing 1492-1512 of 5,463 articles

Improving classification of pollen grain images of the POLEN23E dataset through three different applications of deep learning convolutional neural networks.

In palynology, the visual classification of pollen grains from different species is a hard task whic...

Sep 2018 30216353

Study on screening potential allergenic proteins from infant milk powders based on human mast cell membrane chromatography and histamine release assays.

Cow's milk allergy is mainly observed in infants and young children. Most allergic reactions affect ...

Aug 2018 30740258

Predictive pollen-based biome modeling using machine learning.

This paper investigates suitability of supervised machine learning classification methods for classi...

Aug 2018 30138366

Deep Convolutional Neural Networks for Chest Diseases Detection.

Chest diseases are very serious health problems in the life of people. These diseases include chroni...

Aug 2018 30154989

PIP-EL: A New Ensemble Learning Method for Improved Proinflammatory Peptide Predictions.

Proinflammatory cytokines have the capacity to increase inflammatory reaction and play a central rol...

Jul 2018 30108593

Catechin rich butanol fraction extracted from Acacia catechu L. (a thirst quencher) exhibits immunostimulatory potential.

Acacia catechu L., (Fabaceae) named as "catechu" is a plant, the decoction of heartwood of which is ...

Jul 2018 30648572

Machine learning approaches for predicting disposition of asthma and COPD exacerbations in the ED.

OBJECTIVE: The prediction of emergency department (ED) disposition at triage remains challenging. Ma...

Jun 2018 29970272

Predicted airway obstruction distribution based on dynamical lung ventilation data: A coupled modeling-machine learning methodology.

In asthma and chronic obstructive pulmonary disease, some airways of the tracheobronchial tree can b...

Jun 2018 29799665

Identification of differentially expressed genes associated with asthma in children based on the bioanalysis of the regulatory network.

Asthma, the most common chronic respiratory tract disease in children, is characterized by allergy, ...

Jun 2018 29956778

A Nasal Brush-based Classifier of Asthma Identified by Machine Learning Analysis of Nasal RNA Sequence Data.

Asthma is a common, under-diagnosed disease affecting all ages. We sought to identify a nasal brush-...

Jun 2018 29891868

Modeling asynchronous event sequences with RNNs.

Sequences of events have often been modeled with computational techniques, but typical preprocessing...

Jun 2018 29883623

Productive performance, egg quality, hematological parameters and serum chemistry of laying hens fed diets supplemented with certain fat-soluble vitamins, individually or combined, during summer season.

This present study aimed to determine the efficacy of supplementing layer diets with vitamin A (0, 8...

May 2018 30899809

Allergy & Immunology

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Improving classification of pollen grain images of the POLEN23E dataset through three different applications of deep learning convolutional neural networks.

Study on screening potential allergenic proteins from infant milk powders based on human mast cell membrane chromatography and histamine release assays.

Predictive pollen-based biome modeling using machine learning.

Deep Convolutional Neural Networks for Chest Diseases Detection.

PIP-EL: A New Ensemble Learning Method for Improved Proinflammatory Peptide Predictions.

Catechin rich butanol fraction extracted from Acacia catechu L. (a thirst quencher) exhibits immunostimulatory potential.

Machine learning approaches for predicting disposition of asthma and COPD exacerbations in the ED.

Predicted airway obstruction distribution based on dynamical lung ventilation data: A coupled modeling-machine learning methodology.

Identification of differentially expressed genes associated with asthma in children based on the bioanalysis of the regulatory network.

A Nasal Brush-based Classifier of Asthma Identified by Machine Learning Analysis of Nasal RNA Sequence Data.

Modeling asynchronous event sequences with RNNs.

Productive performance, egg quality, hematological parameters and serum chemistry of laying hens fed diets supplemented with certain fat-soluble vitamins, individually or combined, during summer season.

Prediction of DNase I hypersensitive sites in plant genome using multiple modes of pseudo components.

Multichannel lung sound analysis for asthma detection.

Computational Strategies for Dissecting the High-Dimensional Complexity of Adaptive Immune Repertoires.

Automated chart review utilizing natural language processing algorithm for asthma predictive index.

Mixed Th2 and non-Th2 inflammatory pattern in the asthma-COPD overlap: a network approach.

Ascertainment of asthma prognosis using natural language processing from electronic medical records.

Dew point temperature affects ascospore release of allergenic genus Leptosphaeria.

Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network.

Generating Quantitative Cell Identity Labels with Marker Enrichment Modeling (MEM).

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