The Use of Machine Learning Techniques for the Differential Diagnosis Between Eosinophilic Granulomatosis With Polyangiitis and Hypereosinophilic Syndrome
Condition(s) studied
Investigational drug(s) / intervention(s)
Blood draw for the laboratory assessment: Blood draw for the laboratory assessment
Study summary
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.
Eligibility
Primary outcome measure(s)
- characteristics that are different between HES and EGPA — 18months
Trial sites (1)
| Facility | City | Region | Status |
|---|---|---|---|
| Fondazione IRCCS Policlinico San Matteo, SC Reumatologia | Pavia | Italy | Recruiting |
More Fondazione IRCCS Policlinico San Matteo di Pavia trials in Italy
Other trials for the same condition
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT07275190 on ClinicalTrials.gov ↗ ← All trials in Italy