Results 121 to 130 of about 103,227 (231)

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation [PDF]

open access: yesarXiv
Chronic rhinosinusitis (CRS) is characterized by persistent inflammation in the paranasal sinuses, leading to typical symptoms of nasal congestion, facial pressure, olfactory dysfunction, and discolored nasal drainage, which can significantly impact quality-of-life. Eosinophils (Eos), a crucial component in the mucosal immune response, have been linked
arxiv  

Osteopontin mediated eosinophils activation by group II innate lymphoid cells

open access: yesWorld Allergy Organization Journal, 2022
Background: Osteopontin (OPN) can regulate Th2 inflammation in allergic rhinitis (AR). A recent study suggested that group II innate lymphoid cells (ILC2s) were very important for airway inflammation.
Qingxiang Zeng, PhD   +4 more
doaj  

Expanding Training Data for Endoscopic Phenotyping of Eosinophilic Esophagitis [PDF]

open access: yesarXiv
Eosinophilic esophagitis (EoE) is a chronic esophageal disorder marked by eosinophil-dominated inflammation. Diagnosing EoE usually involves endoscopic inspection of the esophageal mucosa and obtaining esophageal biopsies for histologic confirmation.
arxiv  

Phagocytosis by Human Eosinophils [PDF]

open access: bronze, 1968
Martin J. Cline   +2 more
openalex   +1 more source

Blood and sputum biomarkers in COPD and asthma: a review [PDF]

open access: yes, 2016
Chronic obstructive pulmonary disease (COPD) and asthma are lung inflammatory diseases that represent major public health problems. The primary, and often unique, method to evaluate lung function is spirometry, which reflects disease severity rather than
Conti, V   +8 more
core  

Diffusion and Multi-Domain Adaptation Methods for Eosinophil Segmentation [PDF]

open access: yesarXiv
Eosinophilic Esophagitis (EoE) represents a challenging condition for medical providers today. The cause is currently unknown, the impact on a patient's daily life is significant, and it is increasing in prevalence. Traditional approaches for medical image diagnosis such as standard deep learning algorithms are limited by the relatively small amount of
arxiv  

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