Search results for "Pediatric allergy"
showing 4 items of 4 documents
Artificial intelligence in the diagnosis of pediatric allergic diseases.
2020
Abstract: Artificial intelligence (AI) is a field of data science pertaining to advanced computing machines capable of learning from data and interacting with the human world. Early diagnosis and diagnostics, self-care, prevention and wellness, clinical decision support, care delivery, and chronic care management have been identified within the healthcare areas that could benefit from introducing AI. In pediatric allergy research, the recent developments in AI approach provided new perspectives for characterizing the heterogeneity of allergic diseases among patients. Moreover, the increasing use of electronic health records and personal healthcare records highlighted the relevance of AI in …
Vitamin D, allergies and asthma: focus on pediatric patients
2014
In recent years, the interest of the scientific world towards vitamin D gradually increased, and several studies have been conducted to dissect its possible role in modulating the development/course of allergic diseases. Also, Vitamin D supplementation has been assessed as a beneficial approach for treating allergies in some, but not all studies. We reviewed herein the available and relevant literature concerning the possible links between Vitamin D, its supplementation and allergic diseases. A literature search was made independently by the Authors, identifying articles for a narrative review. As per literature, Vitamin D plays a key role in calcium and phosphate metabolism, and it is esse…
Hydrolysed cow's milk formulae.
1993
Validity and repeatability of the Pediatric Allergy Questionnaire for Athletes (AQUAped) for the screening of atopy.
2020
BACKGROUND High atopy prevalence has been reported in athletes. Having an age-specific questionnaire for predicting atopy is important for an optimal management of young athletes. The study objectives were as follows: (i) developing a scoring system for the Pediatric Allergy Questionnaire for Athletes (AQUAped); (ii) identifying the optimal age target within the range 7-14 years; (iii) assessing AQUAped validity and repeatability in the identified target population. METHODS A total of 133 young athletes (age 7-14 years) were recruited. Following a screening visit, the participants filled AQUAped at baseline (T0) and after 7 days (T1), concomitantly undergoing skin prick testing. Using atopy…