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Recruiting NCT06767254
A Machine Learning Approach to Connect Multiple Myeloma Complexity to Early Disease Recurrence
Trial Parameters
Condition Multiple Myeloma (MM)
Sponsor IRCCS Azienda Ospedaliero-Universitaria di Bologna
Study Type OBSERVATIONAL
Phase N/A
Enrollment 200
Sex ALL
Min Age 18 Years
Max Age N/A
Start Date 2024-10-30
Completion 2026-04-02
Brief Summary
This is a non-interventional, national, multicenter prospective non-profit observational study aiming at improving the accuracy of risk prediction in multiple myeloma (MM) by applying machine-learning tools for data processing to develop model(s) predicting response to therapy and the probability of early relapse for MM patients.
Eligibility Criteria
Inclusion Criteria: * Age ≥ 18 years * Signed Informed Consent form for study participation and personal data processing * Diagnosis of active multiple myeloma Exclusion Criteria: * None
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