Machine learning approaches to predict asthma exacerbations: A narrative review

NA Molfino, G Turcatel, D Riskin - Advances in Therapy, 2024 - Springer
The implementation of artificial intelligence (AI) and machine learning (ML) techniques in
healthcare has garnered significant attention in recent years, especially as a result of their …

Ensuring equitable access to guideline-based asthma care across the lifespan: tips and future directions to the successful implementation of the new NAEPP 2020 …

A Nanda, R Siles, H Park, M Louisias, B Ariue… - Journal of Allergy and …, 2023 - Elsevier
The most recent recommendations from the 2020 National Asthma Education and
Prevention Program Update and Global Initiative for Asthma 2021 guide evidence-based …

Highly sensitive liquid chromatography–mass spectrometry method for the quantitative analysis of mometasone furoate in human plasma: Method validation and …

O Heudi, M Jain, S Winter - Biomedical Chromatography, 2024 - Wiley Online Library
We report the development and the validation of a sensitive liquid chromatography–mass
spectrometry (LC‐MS/MS) method for mometasone furoate (MF) analysis in human plasma …

Maternal Distress and Allergic Disease: Early Childhood Stressors Shape Long-Term Health

C Socolovsky, W Phipatanakul - Chest, 2020 - journal.chestnet.org
Urbanization, industrialization, and the development of antibiotics fundamentally altered the
frequency of exposure to pathogens implicated in allergic disease. As the prevalence of …

The efficacy of mometasone furoate for children with asthma: a meta-analysis of randomized controlled trials

Y Song, K Pan, Y Chen, X Wang, J Tian - Advances in Dermatology and …, 2020 - termedia.pl
The efficacy of mometasone furoate for children with asthma: a meta-analysis of
randomized controlled trials Journals Advances in Dermatology and Allergology/Postępy …