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

StatusRecruiting
PhaseNot applicable
Started
View on ClinicalTrials.gov ↗
Record status
This record was last updated December 10, 2025 (before its estimated September 2026 completion). Its status may not reflect the trial's current state.

Record History

  1. Study First Submitted
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.
Trial Details
NCT Number NCT07275190
Lead Sponsor Fondazione IRCCS Policlinico San Matteo di Pavia
Conditions
(from sponsor)		 EGPA - Eosinophilic Granulomatosis With Polyangiitis, HES - Hypereosinophilic Syndrome
Related terms Churg-Strauss Syndrome, Hypereosinophilic Syndrome
Enrollment 60 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov