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

RecruitingNAAges 18 Years - anyAllFondazione IRCCS Policlinico San Matteo di Pavia
NCT07275190 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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.

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📋 Eligibility rules (as published)
Inclusion Criteria: 1. 18 years of age or over 2. A diagnosis of EGPA or HES 3. 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 Exclusion Criteria: 1. Lack of a confirmed diagnosis of EGPA or HES. 2. Other causes of eosinophilia
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What it tests

  • Blood draw for the laboratory assessment
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Where

1 site
Fondazione IRCCS Policlinico San Matteo, SC Reumatologia
Pavia, Italy
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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