NCT07275190

The Use of Machine Learning Techniques for the Differential Diagnosis Between Eosinophilic Granulomatosis With Polyangiitis and Hypereosinophilic Syndrome

• Status: Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 60 (estimated)
• Sponsor: Fondazione IRCCS Policlinico San Matteo di Pavia · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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.

Conditions

• EGPA - Eosinophilic Granulomatosis With Polyangiitis
• HES - Hypereosinophilic Syndrome

Interventions

Type	Name	Description
PROCEDURE	Blood draw for the laboratory assessment	Blood draw for the laboratory assessment

Timeline

• Start date: 2025-06-01
• Primary completion: 2026-09-01
• Completion: 2026-12-01
• First posted: 2025-12-10
• Last updated: 2025-12-10

Locations

1 site across 1 country: Italy