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Study identifier: NCT07275190 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

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

Condition: EGPA - Eosinophilic Granulomatosis With Polyangiitis · HES - Hypereosinophilic Syndrome  ·  Sponsor: Fondazione IRCCS Policlinico San Matteo di Pavia

PhaseNA
Planned participants60
Who can joinAll sexes, 18 Years to no upper limit
Healthy volunteersNo

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

Carlomaurizio Montecucco  ·  390382502948  ·  carlomaurizio.montecucco@unipv.it

Alessandra Milanesi  ·  0382502498  ·  al.milanesi@smatteo.pv.it

Always discuss trial participation with your own doctor first.

Locations (1)

Fondazione IRCCS Policlinico San Matteo, SC ReumatologiaPavia, ItalyRecruiting

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Source record: clinicaltrials.gov/study/NCT07275190