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

Brief summary (registry, in English)

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.

What you commit to

• Study type: Observational
• Planned participants: 200
• From 30 Oct 2024 to the primary completion date, 2 Apr 2026
• 4 sites in 1 country
• Visits and tests: ask the trial team, the registry does not list them

Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.

Who cannot take part

Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.

Who the study is looking for

Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (4)

Sites in registry order. Pick your city on the disease page to sort them by distance.