Actively Recruiting
The Use of Machine Learning Techniques for the Differential Diagnosis Between Eosinophilic Granulomatosis With Polyangiitis and Hypereosinophilic Syndrome
Led by Fondazione IRCCS Policlinico San Matteo di Pavia · Updated on 2025-12-10
60
Participants Needed
1
Research Sites
78 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The purpose of this study is to collect clinical, laboratory, and instrumental data from patients with eosinophilic granulomatosis with polyangiitis or hypereosinophilic syndrome, which will then be analyzed using artificial intelligence techniques with the aim of identifying characteristics that differentiate the two diseases and can predict the response to the treatment plan.
CONDITIONS
Official Title
The Use of Machine Learning Techniques for the Differential Diagnosis Between Eosinophilic Granulomatosis With Polyangiitis and Hypereosinophilic Syndrome
Who Can Participate
Eligibility Criteria
You may qualify if you...
- 18 years of age or over
- Diagnosed with eosinophilic granulomatosis with polyangiitis (EGPA) or hypereosinophilic syndrome (HES)
- Willing and able to give informed written consent, or permission given by a nominated friend or relative if unable due to physical disabilities
You will not qualify if you...
- No confirmed diagnosis of EGPA or HES
- Presence of other causes of eosinophilia
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Fondazione IRCCS Policlinico San Matteo, SC Reumatologia
Pavia, Italy, 27100
Actively Recruiting
Research Team
C
Carlomaurizio Montecucco
CONTACT
A
Alessandra Milanesi
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NA
Model
PARALLEL
Primary Purpose
OTHER
Number of Arms
0
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