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1. Predictors and associations of the persistent airflow limitation phenotype in asthma: a post-hoc analysis of the ATLANTIS study

2. Asthma similarities across ProAR (Brazil) and U-BIOPRED (Europe) adult cohorts of contrasting locations, ethnicity and socioeconomic status

3. Analysis of clinical characteristics in metastatic hormone-sensitive prostate cancer. A comparative study of patients from cal trials to patients from real life using Big Data

4. Development of a predictive model for death amongst patients with Metastatic Hormone Sensitive Prostate Cancer (mHSPC) treated with one of the approved treatment plans, on characteristics present at admission using Big data: Preliminary results from the European network of excellence for big data in prostate cancer (PIONEER)

5. IL-17–high asthma with features of a psoriasis immunophenotype

6. Stratification of asthma phenotypes by airway proteomic signatures

7. Epithelial IL-6 trans-signaling defines a new asthma phenotype with increased airway inflammation

8. Analysis of clinical characteristics in metastatic hormone-sensitive prostate cancer: Bridging the gap between randomized controlled trials and real-world data

9. Real-world data analysis of treatment outcomes for patients with metastatic hormone-sensitive prostate cancer: development of a survival prediction model. Results from the European network of excellence for big data in prostate cancer (PIONEER)

10. Real-world data analysis of clinical characteristics in metastatic hormone-sensitive prostate cancer: Are patients from RCTs the same from real life? Data from the European network of excellence for big data in prostate cancer (PIONEER).

11. Towards a European health research and innovation cloud (HRIC)

12. Predictors and associations of the persistent airflow limitation phenotype in asthma: a post-hoc analysis of the ATLANTIS study

13. The role of inflammation in anxiety and depression in the European U-BIOPRED asthma cohorts

14. 917P OPTIMA: Improve care for patients with prostate, breast, and lung cancer through artificial intelligence

15. Plasma proteins elevated in severe asthma despite oral steroid use and unrelated to Type-2 inflammation

16. Plasma proteins elevated in severe asthma despite oral steroid use and unrelated to Type-2 inflammation

17. Plasma proteins elevated in severe asthma despite oral steroid use and unrelated to Type-2 inflammation

18. The PIONEER watchful waiting for prostate cancer apps - a first practical application of using big data for prostate cancer

19. Introducing PIONEER: a project to harness big data in prostate cancer research

20. Author Correction: Introducing PIONEER: a project to harness big data in prostate cancer research (Nature Reviews Urology, (2020), 17, 6, (351-362), 10.1038/s41585-020-0324-x)

21. Medication Adherence in Patients With Severe Asthma Prescribed Oral Corticosteroids in the U-BIOPRED Cohort

22. Instability of sputum molecular phenotypes in U-BIOPRED severe asthma

23. COVID-19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms (vol 17, e10387, 2021)

24. P129 - Real-world data analysis of treatment outcomes for patients with metastatic hormone-sensitive prostate cancer: development of a survival prediction model. Results from the European network of excellence for big data in prostate cancer (PIONEER)

25. P096 - Real-world data analysis of clinical characteristics in metastatic hormone-sensitive prostate cancer: Are patients from RCTs the same from real life? Data from the European network of excellence for big data in prostate cancer (PIONEER).

27. Towards a European health research and innovation cloud (HRIC)

28. Towards a European health research and innovation cloud (HRIC)

29. Urinary Leukotriene E4 and Prostaglandin D2 Metabolites Increase in Adult and Childhood Severe Asthma Characterized by Type 2 Inflammation. A Clinical Observational Study

30. PIONEER: European Commission Innovative Medicines Initiative funded BD4BO (Big data for better outcome) project on prostate cancer

31. Asthma similarities across ProAR (Brazil) and U-BIOPRED (Europe) adult cohorts of contrasting locations, ethnicity and socioeconomic status

32. Stratification of asthma phenotypes by airway proteomic signatures

33. Treatable traits in the European U-BIOPRED adult asthma cohorts

34. Morse-clustering of a Topological Data Analysis Network Identifies Phenotypes of Asthma Based on Blood Gene Expression Profiles

35. Epithelial dysregulation in obese severe asthmatics with gastro-oesophageal reflux

36. Stratification of asthma phenotypes by airway proteomic signatures

37. Asthma Sub-Phenotyping in Plasma from U-BIOPRED and BIOAIR Using Array-Based Proteomics

38. IL-17-high asthma with features of a psoriasis immunophenotype

39. Epithelial dysregulation in obese severe asthmatics with gastro-oesophageal reflux

40. Stratification of asthma phenotypes by airway proteomic signatures

41. Identification and prospective stability of electronic nose (eNose)-derived inflammatory phenotypes in patients with severe asthma

44. A computational framework for complex disease stratification from multiple large-scale datasets

45. Lipid phenotyping of lung epithelial lining fluid in healthy human volunteers

46. IL-17–high asthma with features of a psoriasis immunophenotype

48. Epithelial IL-6 trans-signaling defines a new asthma phenotype with increased airway inflammation

49. Host Transcription Profile In Nasal Epithelium And Whole Blood of Hospitalised Children under two years of age with Respiratory Syncytial Virus Infection

50. Transcriptomic gene signatures associated with persistent airflow limitation in patients with severe asthma

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