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A Machine Learning Approach to Connect Multiple Myeloma Complexity to Early Disease Recurrence
Sponsor: IRCCS Azienda Ospedaliero-Universitaria di Bologna
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.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
200
Start Date
2024-10-30
Completion Date
2026-08-31
Last Updated
2025-01-09
Healthy Volunteers
No
Conditions
Locations (4)
Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori" - IRST IRCCS
Meldola, Forlì-Cesena, Italy
IRCCS Azienda Ospedaliero-Universitaria di Bologna
Bologna, Italy
ARNAS "G. Brotzu" di Cagliari
Cagliari, Italy
Azienda Ospedaliera Universitaria Federico II
Naples, Italy