AIMC Topic: Allergens

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Machine learning to identify pairwise interactions between specific IgE antibodies and their association with asthma: A cross-sectional analysis within a population-based birth cohort.

PLoS medicine Nov 13, 2018
BACKGROUND: The relationship between allergic sensitisation and asthma is complex; the data about the strength of this association are conflicting. We propose that the discrepancies arise in part because allergic sensitisation may not be a single ent...
Data Mining Allergens Hypersensitivity Child Cluster Analysis Immunoglobulin E Biomarkers Female Risk Factors Asthma Cross-Sectional Studies Male Risk Assessment England Humans Machine Learning
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Dew point temperature affects ascospore release of allergenic genus Leptosphaeria.

International journal of biometeorology Jan 27, 2018
The genus Leptosphaeria contains numerous fungi that cause the symptoms of asthma and also parasitize wild and crop plants. In search of a robust and universal forecast model, the ascospore concentration in air was measured and weather data recorded ...
Neural Networks, Computer Forecasting Temperature Cities Models, Theoretical Environmental Monitoring Europe Air Pollutants Air Microbiology Allergens Microclimate Spores, Fungal Ascomycota
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Single-cell RNA sequencing reveals immunological link between house dust mite allergy and childhood asthma.

Scientific reports May 14, 2025
Allergic asthma in children is typically associated with house dust mites (HDM) as the key allergen. Nevertheless, the diagnostic rate remains below 60% due to the absence of specific symptoms and diagnostic markers, which hinders the implementation ...
Animals Male Leukocytes, Mononuclear Gene Expression Profiling Humans Female Asthma Allergens Pyroglyphidae Hypersensitivity Dust Mite Allergy Child, Preschool Child Single-Cell Analysis Sequence Analysis, RNA
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DeepAlgPro: an interpretable deep neural network model for predicting allergenic proteins.

Briefings in bioinformatics Jul 20, 2023
Allergies have become an emerging public health problem worldwide. The most effective way to prevent allergies is to find the causative allergen at the source and avoid re-exposure. However, most of the current computational methods used to identify ...
Humans Neural Networks, Computer Deep Learning Proteins Allergens Hypersensitivity
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Merged Affinity Network Association Clustering: Joint multi-omic/clinical clustering to identify disease endotypes.

Cell reports Apr 13, 2021
Although clinical and laboratory data have long been used to guide medical practice, this information is rarely integrated with multi-omic data to identify endotypes. We present Merged Affinity Network Association Clustering (MANAclust), a coding-fre...
Asthma Male Middle Aged Gene Expression Profiling Precision Medicine Female Adult Child Feces Proteomics Cluster Analysis Transcriptome Case-Control Studies Adolescent Child, Preschool Humans Atlases as Topic Nasal Cavity Allergens Unsupervised Machine Learning Epigenome Benchmarking Datasets as Topic Microbiota Gene Expression Regulation
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Automated Classification of Airborne Pollen using Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Pollen allergies are considered as a global epidemic nowadays, as they influence more than a quarter of the worldwide population, with this percentage expected to rapidly increase because of ongoing climate change. To date, alerts on high-risk allerg...
Forecasting Environmental Monitoring Seasons Allergens Germany Pollen Neural Networks, Computer
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Specific Immunoglobulin G4 and Immunoglobulin E Titers to Common Food Antigens in Sera of Children With Allergic Rhinitis.

Alternative therapies in health and medicine Nov 1, 2018
CONTEXT: Allergic rhinitis is a chronic disease that usually affects children. Its etiology has been investigated for years.
Animals Taiwan Allergens Male Humans Immunoglobulin G Female Immunoglobulin E Rhinitis, Allergic Child, Preschool Child Egg Hypersensitivity
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Positive reactions to pairs of allergens associated with polysensitization: analysis of IVDK data with machine-learning techniques.

Contact dermatitis Apr 1, 2017
Foot Dermatoses Male Hand Dermatoses Middle Aged Aldehydes Humans Female Leg Dermatoses Allergens Cyclohexenes Machine Learning Aged Patch Tests Perfume Biostatistics Ethylene Glycols Adult Torso Sulfhydryl Compounds Dermatitis, Allergic Contact Head Facial Dermatoses Benzothiazoles Nitriles
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