The use of exhaled air analysis in discriminating interstitial lung diseases: a pilot study
Abstract Background Fibrotic Interstitial lung diseases (ILD) are a heterogeneous group of
chronic lung diseases characterized by diverse degrees of lung inflammation and …
chronic lung diseases characterized by diverse degrees of lung inflammation and …
Exosomes derived from hypoxia-induced alveolar epithelial cells stimulate interstitial pulmonary fibrosis through a HOTAIRM1-dependent mechanism
L Chen, Y Yang, R Yue, X Peng, H Yu… - Laboratory …, 2022 - nature.com
Pulmonary fibrosis is the result of various diseases with no satisfactory treatment
approaches. The exosome-mediated transfer of long noncoding RNAs (lncRNAs) has been …
approaches. The exosome-mediated transfer of long noncoding RNAs (lncRNAs) has been …
Clinical outcomes of interstitial lung abnormalities: a systematic review and meta-analysis
J Seok, S Park, EC Yoon, HY Yoon - Scientific Reports, 2024 - nature.com
Interstitial lung abnormalities (ILA), incidental findings on computed tomography scans, have
raised concerns due to their association with worse clinical outcomes. Our meta-analysis …
raised concerns due to their association with worse clinical outcomes. Our meta-analysis …
Enhancing an imbalanced lung disease x-ray image classification with the CNN-LSTM model
Lung diseases have a significant impact on respiratory health, causing various symptoms
and posing challenges in diagnosis and treatment. This research presents a methodology …
and posing challenges in diagnosis and treatment. This research presents a methodology …
Idiopathic pulmonary fibrosis and sleep disorders: no longer strangers in the night
S Schiza, C Mermigkis… - European …, 2015 - Eur Respiratory Soc
The prevalence of obstructive sleep apnoea (OSA) is continuously increasing in patients
with idiopathic pulmonary fibrosis (IPF) and, for the first time, the recent IPF guidelines …
with idiopathic pulmonary fibrosis (IPF) and, for the first time, the recent IPF guidelines …
Venous thromboembolic disease in chronic inflammatory lung diseases: knowns and unknowns
G Keramidas, KI Gourgoulianis, OS Kotsiou - Journal of Clinical Medicine, 2021 - mdpi.com
Persistent inflammation within the respiratory tract underlies the pathogenesis of numerous
chronic pulmonary diseases. There is evidence supporting that chronic lung diseases are …
chronic pulmonary diseases. There is evidence supporting that chronic lung diseases are …
Assessing safety concerns of interstitial lung disease associated with antibody-drug conjugates: a real-world pharmacovigilance evaluation of the FDA adverse event …
W Lin, J Xu, Y Liao, X Lin, J Yang, W Zhuang - International Journal of …, 2024 - Springer
Background Antibody-drug conjugates have revolutionized cancer therapy due to their
selectivity and efficacy. However, concerns have been raised regarding the potential effects …
selectivity and efficacy. However, concerns have been raised regarding the potential effects …
Exercise-based pulmonary rehabilitation for interstitial lung diseases: a review of components, prescription, efficacy, and safety
Interstitial lung diseases (ILDs) comprise a heterogeneous group of disorders (such as
idiopathic pulmonary fibrosis, sarcoidosis, asbestosis, and pneumonitis) characterized by …
idiopathic pulmonary fibrosis, sarcoidosis, asbestosis, and pneumonitis) characterized by …
Inspiratory muscle training in interstitial lung disease: a systematic scoping review
M Hoffman - Jornal Brasileiro de Pneumologia, 2021 - SciELO Brasil
Inspiratory muscle training (IMT) has been described as one of the components of the
treatment of chronic lung conditions such as obstructive and restrictive lung diseases …
treatment of chronic lung conditions such as obstructive and restrictive lung diseases …
Phenotypic clusters predict outcomes in a longitudinal interstitial lung disease cohort
Background The current interstitial lung disease (ILD) classification has overlapping clinical
presentations and outcomes. Cluster analysis modeling is a valuable tool in identifying …
presentations and outcomes. Cluster analysis modeling is a valuable tool in identifying …