AIMC Topic: Allergens
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Utility of Allergen-Specific Patient-Directed Handouts Generated by Chat Generative Pretrained Transformer.
Dermatitis : contact, atopic, occupational, drug
May 16, 2023
Novel machine learning method allerStat identifies statistically significant allergen-specific patterns in protein sequences.
The Journal of biological chemistry
Apr 21, 2023
Cutting-edge technologies such as genome editing and synthetic biology allow us to produce novel foods and functional proteins. However, their toxicity and allergenicity must be accurately evaluated. It is known that specific amino acid sequences in ...
Can You Picture It? Using Smartphone Artificial Intelligence to Identify Allergenic Plants.
Dermatitis : contact, atopic, occupational, drug
Feb 27, 2023
Alternaria spore exposure in Bavaria, Germany, measured using artificial intelligence algorithms in a network of BAA500 automatic pollen monitors.
The Science of the total environment
Nov 17, 2022
Although Alternaria spores are well-known allergenic fungal spores, automatic bioaerosol recognition systems have not been trained to recognize these particles until now. Here we report the development of a new algorithm able to classify Alternaria s...
Integration of reference data from different Rapid-E devices supports automatic pollen detection in more locations.
The Science of the total environment
Aug 23, 2022
Pollen is the most common cause of seasonal allergies, affecting over 33 % of the European population, even when considering only grasses. Informing the population and clinicians in real-time about the actual presence of pollen in the atmosphere is e...
Deep-Learning-Based Wireless Visual Sensor System for Shiitake Mushroom Sorting.
Sensors (Basel, Switzerland)
Jun 18, 2022
The shiitake mushroom is the second-largest edible mushroom in the world, with a high nutritional and medicinal value. The surface texture of shiitake mushrooms can be quite different due to different growing environments, consequently leading to flu...
Thermography based skin allergic reaction recognition by convolutional neural networks.
Scientific reports
Feb 16, 2022
In this work we present an automated approach to allergy recognition based on neural networks. Allergic reaction classification is an important task in modern medicine. Currently it is done by humans, which has obvious drawbacks, such as subjectivity...
Specific IgE and IgG4 Profiles of House Dust Mite Components in Allergen-Specific Immunotherapy.
Frontiers in immunology
Feb 7, 2022
BACKGROUND: Allergen immunotherapy (AIT) can induce immune tolerance to allergens by activating multiple mechanisms, including promoting IgG4 synthesis and blunting IgE production. However, the longitudinal data of sIgE and sIgG4 to allergen componen...
Quantitative analysis of fragrance allergens in various matrixes of cosmetics by liquid-liquid extraction and GC-MS.
Journal of food and drug analysis
Dec 15, 2021
Fragrances are the most common chemicals in cosmetics to which people expose every day. However, the unwanted allergic reactions such as contact dermatitis caused by direct contact with fragrances may happen. In Directive 2003/15/EC of the EU, cosmet...
Towards automatic airborne pollen monitoring: From commercial devices to operational by mitigating class-imbalance in a deep learning approach.
The Science of the total environment
Jul 8, 2021
Allergic diseases have been the epidemic of the century among chronic diseases. Particularly for pollen allergies, and in the context of climate change, as airborne pollen seasons have been shifting earlier and abundances have been becoming higher, p...
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