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A Machine Learning Approach to Connect Multiple Myeloma Complexity to Early Disease Recurrence

RECRUITINGSponsored by IRCCS Azienda Ospedaliero-Universitaria di Bologna
Actively Recruiting
SponsorIRCCS Azienda Ospedaliero-Universitaria di Bologna
Started2024-10-30
Est. completion2026-04-02
Eligibility
Age18 Years+
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT06767254

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

Age: 18 Years+Healthy volunteers accepted
Inclusion Criteria:

* Age ≥ 18 years
* Signed Informed Consent form for study participation and personal data processing
* Diagnosis of active multiple myeloma

Exclusion Criteria:

* None

Conditions2

CancerMultiple Myeloma (MM)

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