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

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.

NCT Number	NCT07275190
Lead Sponsor	Fondazione IRCCS Policlinico San Matteo di Pavia
Conditions	EGPA - Eosinophilic Granulomatosis With Polyangiitis, HES - Hypereosinophilic Syndrome
Enrollment	60 participants
Start Date	2025-06-01
Primary Completion	2026-09 (estimated)
Study Completion	2026-12 (estimated)
Updated on ClinicalTrials.gov	2025-12-10