BiomoleculesIntroduction: Eosinophils contribute to the pathogenesis of allergic diseases, including asthma, allergic rhinitis, and atopic dermatitis. We previously reported that human tissue eosinophils have high CD69 expression compared to blood eosinophils, and ...
Dan Van Bui +13 more
doaj +1 more source
Nasal histamine responses in nonallergic rhinitis with eosinophilic syndrome [PDF]
, 2015 Background: Nonallergic rhinitis with eosinophilic syndrome (NARES) is persistent, without atopy, but with ≥25% nasal eosinophilia. Hypereosinophilia seems to contribute to nasal mucosa dysfunction.
Ciofalo, Andrea +7 more
core +1 more source
Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features [PDF]
arXiv, 2021 Goal: Eosinophilic esophagitis (EoE) is an allergic inflammatory condition characterized by eosinophil accumulation in the esophageal mucosa. EoE diagnosis includes a manual assessment of eosinophil levels in mucosal biopsies - a time-consuming, laborious task that is difficult to standardize. One of the main challenges in automating this process, like
arxiv
Eotaxin: a potent eosinophil chemoattractant cytokine detected in a guinea pig model of allergic airways inflammation. [PDF]
, 1994 Eosinophil accumulation is a prominent feature of allergic inflammatory reactions, such as those occurring in the lung of the allergic asthmatic, but the endogenous chemoattractants involved have not been identified.
Collins, PD +8 more
core +1 more source
Deep Learning-Based Open Source Toolkit for Eosinophil Detection in Pediatric Eosinophilic Esophagitis [PDF]
arXiv, 2023 Eosinophilic Esophagitis (EoE) is a chronic, immune/antigen-mediated esophageal disease, characterized by symptoms related to esophageal dysfunction and histological evidence of eosinophil-dominant inflammation. Owing to the intricate microscopic representation of EoE in imaging, current methodologies which depend on manual identification are not only ...
arxiv
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task [PDF]
IEEE Transactions on Artificial Intelligence, 2021, 2020 The black-box nature of machine learning models hinders the deployment of some high-accuracy models in medical diagnosis. It is risky to put one's life in the hands of models that medical researchers do not fully understand. However, through model interpretation, black-box models can promptly reveal significant biomarkers that medical practitioners may
arxiv +1 more source
Eosinophil Apoptosis and Clearance in Asthma [PDF]
, 2013 Peer reviewedPublisher ...
Bickham U.R. +9 more
core +3 more sources
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representation [PDF]
arXiv, 2023 Eosinophilic esophagitis (EoE) is a chronic and relapsing disease characterized by esophageal inflammation. Symptoms of EoE include difficulty swallowing, food impaction, and chest pain which significantly impact the quality of life, resulting in nutritional impairments, social limitations, and psychological distress.
arxiv
Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population [PDF]
International Immunopharmacology, Volume 86,2020,106705,, 2020 Since December 2019 the novel coronavirus SARS-CoV-2 has been identified as the cause of the pandemic COVID-19. Early symptoms overlap with other common conditions such as common cold and Influenza, making early screening and diagnosis are crucial goals for health practitioners.
arxiv +1 more source
Nonesophageal Eosinophilic Gastrointestinal Disorders: Clinical Care and Future Directions [PDF]
, 2018 Eosinophilic gastrointestinal disorders are a set of conditions with a wide range of clinical manifestations and treatment modalities. The disorders are suspected to result from an abnormal inflammatory response to allergen(s), and individuals may ...
Gupta, Sandeep K., Naramore, Sara
core +1 more source