Search

Your search keyword '"Rupani H"' showing total 107 results

Search Constraints

Start Over You searched for: Author "Rupani H" Remove constraint Author: "Rupani H"
107 results on '"Rupani H"'

Search Results

1. Recent Insights into the Management of Inflammation in Asthma

2. A Role for Mucolytics and Expectorants in Aiding Inhaled Therapies in Asthma? [Response To Letter]

5. Eosinophils and tissue remodeling: relevance to airway disease

13. Beliefs about vaccination and relation to COVID-19 vaccination side-effects in asthma patients.

22. Multidimensional endotyping in patients with severe asthma reveals inflammatory heterogeneity in matrix metalloproteinases and chitinase 3–like protein 1

25. P11 Sputum neutrophil activity in asthma

30. Abstracts from the 3rd International Severe Asthma Forum (ISAF)

31. A collaborative enterprise for multi-stakeholder participation in the advancement of quantitative imaging

35. Differences in B cell growth phenotype reflect novel patterns of Epstein‐Barr virus latent gene expression in Burkitt's lymphoma cells.

41. S88 Micrornas regulate genome-wide translation in severe asthma bronchial epithelial cells as revealed by frac-seq

42. Patient-centred composite scores as tools for assesment of response to biological therapy for paediatric and adult severe asthma.

43. Booster vaccination normalizes postvaccination immunity in patients with severe asthma.

44. Therapeutic relevance of eosinophilic inflammation and airway viral interactions in severe asthma.

45. Clinical and Economic Burden of Severe Asthma With Low Blood Eosinophil Counts.

46. Overcoming Barriers to Remission in Severe Eosinophilic Asthma: Two-Year Real-World Data With Benralizumab.

47. Preserved antibody responses to COVID-19 vaccination and lower odds of developing COVID-19 in adults with severe asthma.

48. An international consensus on the use of asthma biologics in pregnancy.

49. Impact of comorbidities on EQ-5D quality-of-life index in severe asthma.

50. Computable phenotype for diagnostic error: developing the data schema for application of symptom-disease pair analysis of diagnostic error (SPADE).

Catalog

Books, media, physical & digital resources