The Use of Machine Learning Techniques for the Differential Diagnosis Between Eosinophilic Granulomatosis With Polyangiitis and Hypereosinophilic Syndrome
Status: Recruiting
Location: See location...
Intervention Type: Procedure
Study Type: Interventional
Study Phase: Not Applicable
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
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: f
View:
• 18 years of age or over
• A diagnosis of EGPA or HES
• Willing and able to give informed written consent, or willing to give permission for a nominated friend or relative to provide written informed assent if they are unable to do so because of physical disabilities
Locations
Other Locations
Italy
Fondazione IRCCS Policlinico San Matteo, SC Reumatologia
RECRUITING
Pavia
Contact Information
Primary
Carlomaurizio Montecucco
carlomaurizio.montecucco@unipv.it
390382502948
Backup
Alessandra Milanesi
al.milanesi@smatteo.pv.it
0382502498
Time Frame
Start Date: 2025-06-01
Estimated Completion Date: 2026-12
Participants
Target number of participants: 60
Related Therapeutic Areas
Sponsors
Leads: Fondazione IRCCS Policlinico San Matteo di Pavia