Precision Medicine in Childhood Asthma: Omic Studies of Treatment Response

Pérez-García, Javier; Herrera‐Luis, Esther; Lorenzo-Díaz, Fabián; González, Mario; Sardón, Olaia; Villar, Jesús; Pino-Yanes, María

doi:10.3390/ijms21082908

Cited by 11 publications

(13 citation statements)

References 85 publications

(123 reference statements)

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“…Recent advances in AI technologies, such as machine learning and deep learning, have further increased enthusiasm about the prospects of precision medicine transforming healthcare [ 4 , 5 , 6 , 7 , 8 , 9 ]. In pediatrics, AI-driven technologies are beginning to enter clinical studies in the management of diabetes mellitus [ 10 ], asthma [ 11 ], and cancer [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Parental Attitudes toward Artificial Intelligence-Driven Precision Medicine Technologies in Pediatric Healthcare

et al. 2020

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Precision medicine relies upon artificial intelligence (AI)-driven technologies that raise ethical and practical concerns. In this study, we developed and validated a measure of parental openness and concerns with AI-driven technologies in their child’s healthcare. In this cross-sectional survey, we enrolled parents of children <18 years in 2 rounds for exploratory (n = 418) and confirmatory (n = 386) factor analysis. We developed a 12-item measure of parental openness to AI-driven technologies, and a 33-item measure identifying concerns that parents found important when considering these technologies. We also evaluated associations between openness and attitudes, beliefs, personality traits, and demographics. Parents (N = 804) reported mean openness to AI-driven technologies of M = 3.4/5, SD = 0.9. We identified seven concerns that parents considered important when evaluating these technologies: quality/accuracy, privacy, shared decision making, convenience, cost, human element of care, and social justice. In multivariable linear regression, parental openness was positively associated with quality (beta = 0.23), convenience (beta = 0.16), and cost (beta = 0.11), as well as faith in technology (beta = 0.23) and trust in health information systems (beta = 0.12). Parental openness was negatively associated with the perceived importance of shared decision making (beta = −0.16) and being female (beta = −0.12). Developers might support parental openness by addressing these concerns during the development and implementation of novel AI-driven technologies.

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Section: Introductionmentioning

confidence: 99%

Parental Attitudes toward Artificial Intelligence-Driven Precision Medicine Technologies in Pediatric Healthcare

et al. 2020

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“…To attribute remission, it was permitted to taper the research drug to a dosage of zero (by stepwise decreases from 100% to 50% to 0%), in accordance with predefined methods. The resumption of the full dosage of the research medicine was guided by algorithms [15].…”

Section: Randomizationmentioning

confidence: 99%

Effect of Budesonide Inhalation on Asthmatic Child: A Randomized Controlled Trial

Saad

Moursi²

2023

JAMMR

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Background: Asthma is a diverse inflammatory airway illness characterized by intermittent respiratory manifestations, and inhaled steroids (ICS) constitute the foundation of all asthma management regimens. The aim of this study was to examine the therapeutic efficacy of inhaled Budesonide (BUD) regimens for recurrent wheeze treatment in pre-schoolers. Methods: This retrospective randomized controlled research involved 70 pediatric subjects aged from 6-12 years old, both sexes having four wheezing episodes or more in the last year; and satisfying at least one main condition or two minor of them. Case selection was rigorously regulated by experts who specialize in children’s respiratory disorders diagnosis and treatment, notably asthma. The included children had mild-to-moderate asthma. Results: After treatment, FEV1, FVC and FEV1: FVC were significantly elevated in group A than group B (P value <0.001). Urgent care visits and hospitalizations because of asthma were significantly lower in group A than group B (P value = 0.003 and 0.008 respectively). Conclusions: We have shown that the BUD Inhalation is an effective and safe management for long term asthma treatment. Compared to placebo, BUD was related with a higher decrease in asthma manifestations and a rise in the number episode free days.

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“…Genome‐wide association studies and candidate gene investigations have identified polymorphisms associated with asthma and acute asthma exacerbations (4). Systems biology has provided insight into the integrated function of these genetic variations and allows this to be assessed in intact individuals.…”

Section: Asthmamentioning

confidence: 99%