Results 81 to 90 of about 15,388 (248)
Plots showing clustering of airway microbiome communities.
, 2019 (A) Upper airway and lower airway microbiome of CF (left) and non-CF (right) children represented by nonmetric multidimensional scaling (NMDS) of pairwise weighted Unifrac distances.
Gary P. Wang (7405979) +4 more
core +1 more source
JEADV Clinical Practice, EarlyView.ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig +2 more
wiley +1 more source
, 2023 Jinyi Wan,1,2,* Jingjing Song,1,* Qingqing Lv,2 Hui Zhang,1 Qiangwei Xiang,1 Huan Dai,1 Hang Zheng,1 Xixi Lin,3 Weixi Zhang1 1Department of Pediatric Allergy and Immunology, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou
Zhang W +8 more
core
Otolaryngology–Head and Neck Surgery, EarlyView.Abstract Objective Chronic rhinosinusitis (CRS) affects all sociodemographic groups. While studies have explored social determinants of health (SDOH), sociodemographics, and health behaviors, their specific effects on CRS outcomes are unclear, making tailored care difficult.
Kassandra M. Jade +8 more
wiley +1 more source
Has the airway microbiome been overlooked in respiratory disease? [PDF]
, 2015 The respiratory disease field is changing because of recent advances in our understanding of the airway microbiome. Central to this is dysbiosis, an imbalance of microbial communities that can lead to and flag inflammation in the airways.
Marsland, B.J., Salami, O.
core +1 more source
The Role of Polyphenols in Respiratory and Gut Health: From the Perspective of Gut‐Lung Axis
Phytotherapy Research, EarlyView.ABSTRACT The gut‐lung axis constitutes a dynamic, multidirectional communication platform between the gastrointestinal and respiratory tracts. Its complexity arises from the integrated crosstalk among the microbiota, immune system, and redox homeostasis, collectively influencing disease susceptibility and progression.
Jian Kang +7 more
wiley +1 more source
mSystems, 2018 Despite growing efforts to understand the role of the microbiota in airway disease, mechanisms that link microbial community dysbiosis to chronic inflammation remain elusive.
Emily K. Cope
doaj +1 more source
Ugandan and San Franciscan lower airway microbiome are compositionally distinct.
, 2014 NMDS ordination illustrates compositional dis-similarity in the lower airway microbiome of 60 Ugandan and 15 San Franciscan HIV-infected pneumonia patients.
Sylvia Kaswabuli (121843) +11 more
core +1 more source
Salivary biomarkers in sleep‐related disorders
Sleep Research, EarlyView.Abstract The exploration of salivary biomarkers has emerged as a promising avenue in the diagnosis and management of sleep‐related disorders, such as obstructive sleep apnea (OSA), insomnia, and sleep deprivation. Saliva is a noninvasive biofluid that contains a wealth of biological markers, reflecting both local and systemic physiological changes ...
Chuan Xiang Li +9 more
wiley +1 more source
VIEW, EarlyView.Patients in intensive care units often experience lung injuries, complicated by brain problems. Advanced laboratory tools, organoids, and organs‐on‐chips facilitated the study of multiorgan interactions, help us understand the communication between the lungs and brain.
Wanyi Zhang +5 more
wiley +1 more source