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Machine learning: A modern approach to pediatric asthma.
Cilluffo G, Fasola S, Ferrante G, Licari A, Marseglia GR, Albarelli A, Marseglia GL, La Grutta S. Cilluffo G, et al. Among authors: la grutta s. Pediatr Allergy Immunol. 2022 Jan;33 Suppl 27(Suppl 27):34-37. doi: 10.1111/pai.13624. Pediatr Allergy Immunol. 2022. PMID: 35080316 Free PMC article. Review.
Digital health interventions in children with asthma.
Ferrante G, Licari A, Marseglia GL, La Grutta S. Ferrante G, et al. Among authors: la grutta s. Clin Exp Allergy. 2021 Feb;51(2):212-220. doi: 10.1111/cea.13793. Epub 2020 Dec 6. Clin Exp Allergy. 2021. PMID: 33238032 Free PMC article.
Endotyping allergic rhinitis in children: A machine learning approach.
Malizia V, Cilluffo G, Fasola S, Ferrante G, Landi M, Montalbano L, Licari A, La Grutta S. Malizia V, et al. Among authors: la grutta s. Pediatr Allergy Immunol. 2022 Jan;33 Suppl 27(Suppl 27):18-21. doi: 10.1111/pai.13620. Pediatr Allergy Immunol. 2022. PMID: 35080305 Free PMC article.
Social robots and therapeutic adherence: A new challenge in pediatric asthma?
Ferrante G, Vitale G, Licari A, Montalbano L, Pilato G, Infantino I, Augello A, La Grutta S. Ferrante G, et al. Among authors: la grutta s. Paediatr Respir Rev. 2021 Dec;40:46-51. doi: 10.1016/j.prrv.2020.11.001. Epub 2020 Dec 5. Paediatr Respir Rev. 2021. PMID: 33386280 Review.
271 results