AIMC Topic: Allergens

Clear Filters Showing 21 to 30 of 38 articles

Neural networks for increased accuracy of allergenic pollen monitoring.

Scientific reports May 31, 2021
Monitoring of airborne pollen concentrations provides an important source of information for the globally increasing number of hay fever patients. Airborne pollen is traditionally counted under the microscope, but with the latest developments in imag...
Seasons Allergens Pollen Parietaria Neural Networks, Computer Environmental Monitoring
View on PubMed DOI

An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study.

Scientific reports Feb 5, 2021
The rampant spread of COVID-19, an infectious disease caused by SARS-CoV-2, all over the world has led to over millions of deaths, and devastated the social, financial and political entities around the world. Without an existing effective medical the...
T-Lymphocytes, Helper-Inducer Protein Conformation Epitopes, B-Lymphocyte Vaccines, Subunit T-Lymphocytes, Cytotoxic Molecular Dynamics Simulation Drug Design Allergens Codon Usage Deep Learning Solubility COVID-19 Vaccines Immunogenicity, Vaccine Spike Glycoprotein, Coronavirus Computational Biology Models, Molecular Mutation Humans RNA, Viral COVID-19 SARS-CoV-2 Epitopes, T-Lymphocyte Molecular Docking Simulation
View on PubMed DOI

AllergyMap: An Open Source Corpus of Allergy Mention Normalizations.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Allergy mention normalization is challenging because of the wide range of possible allergens including medications, foods, plants, animals, and consumer products. This paper describes the process of mapping free-text allergy information from an elect...
Allergens Medical Records Systems, Computerized Hypersensitivity Humans Medication Systems, Hospital Systems Integration Electronic Health Records RxNorm Natural Language Processing Data Mining
View on PubMed

Machine-learning-driven biomarker discovery for the discrimination between allergic and irritant contact dermatitis.

Proceedings of the National Academy of Sciences of the United States of America Dec 14, 2020
Contact dermatitis tremendously impacts the quality of life of suffering patients. Currently, diagnostic regimes rely on allergy testing, exposure specification, and follow-up visits; however, distinguishing the clinical phenotype of irritant and all...
Adult Male Severity of Illness Index Transcriptome Algorithms Biomarkers Female Reproducibility of Results Leukocytes Allergens Gene Expression Regulation Irritants Gene Regulatory Networks Databases, Genetic Diagnosis, Differential Skin Humans Machine Learning Dermatitis, Allergic Contact Patch Tests Dermatitis, Irritant
View on PubMed DOI

A novel method based on infrared spectroscopic inception-resnet networks for the detection of the major fish allergen parvalbumin.

Food chemistry Sep 6, 2020
We have developed a novel approach that involves inception-resnet network (IRN) modeling based on infrared spectroscopy (IR) for rapid and specific detection of the fish allergen parvalbumin. SDS-PAGE and ELISA were used to validate the new method. T...
Allergens Fish Proteins Electrophoresis, Polyacrylamide Gel Spectrophotometry, Infrared Fish Products Parvalbumins Food Analysis Mice, Inbred BALB C Food Hypersensitivity Fishes Animals Mice Enzyme-Linked Immunosorbent Assay Support Vector Machine Neural Networks, Computer Reproducibility of Results
View on PubMed DOI

Estimating the daily pollen concentration in the atmosphere using machine learning and NEXRAD weather radar data.

Environmental monitoring and assessment Jun 7, 2019
Millions of people have an allergic reaction to pollen. The impact of pollen allergies is on the rise due to increased pollen levels caused by global warming and the spread of highly invasive weeds. The production, release, and dispersal of pollen de...
Radar Pollen Oklahoma Weather Machine Learning Allergens Forecasting Antigens, Plant Plant Extracts Atmosphere Environmental Monitoring
View on PubMed DOI

Applying Deep Neural Networks and Ensemble Machine Learning Methods to Forecast Airborne Pollen.

International journal of environmental research and public health Jun 4, 2019
Allergies to airborne pollen are a significant issue affecting millions of Americans. Consequently, accurately predicting the daily concentration of airborne pollen is of significant public benefit in providing timely alerts. This study presents a me...
Weather Machine Learning Allergens Neural Networks, Computer Forecasting Antigens, Plant Ambrosia Plant Extracts Bayes Theorem
View on PubMed DOI

Do no harm: Natural language processing of social media supports safety of aseptic allergen immunotherapy procedures.

The Journal of allergy and clinical immunology May 17, 2019
Social Media Natural Language Processing Allergens Desensitization, Immunologic
View on PubMed DOI

Demographic, Clinical, and Allergic Characteristics of Children with Eosinophilic Esophagitis in Isfahan, Iran.

Iranian journal of allergy, asthma, and immunology Dec 3, 2018
Eosinophilic esophagitis (EoE) is a chronic immune-mediated disease isolated to the esophagus Food allergy is thought to play an important role in the pathophysiology of EOE. The aim of this study is to evaluate demographic features and sensitivity o...
Eosinophilic Esophagitis Humans Iran Asthma Sesamum Allergens Male Female Eczema Infant Adolescent Food Fish Proteins Prevalence Child, Preschool Skin Tests Child Immunoglobulin E
View on PubMed

Specific and sensitive ELISA for measurement of IgE-binding variations of milk allergen β-lactoglobulin in processed foods.

Analytica chimica acta Nov 26, 2018
Immunochemical detection of food allergens is usually based on the use of polyclonal or monoclonal immunoglobulins G (IgG) antibodies. However, due to differences in epitopes recognition between IgG and IgE, an epitope modification during food proces...
Food Handling Lactoglobulins Temperature Immunoglobulin E Animals Limit of Detection Cattle Allergens Enzyme-Linked Immunosorbent Assay Milk
View on PubMed DOI
Popular Topics
Recent Journals