A Machine Learning Approach to Connect Multiple Myeloma Complexity to Early Disease Recurrence
2 other identifiers
observational
200
1 country
4
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Oct 2024
4 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 30, 2024
CompletedFirst Submitted
Initial submission to the registry
January 2, 2025
CompletedFirst Posted
Study publicly available on registry
January 9, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 2, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
August 31, 2026
ExpectedJanuary 9, 2025
November 1, 2024
1.4 years
January 2, 2025
January 8, 2025
Conditions
Outcome Measures
Primary Outcomes (1)
Overall Response Rate
Overall Response Rate
12 months after the start of anti-MM therapy
Eligibility Criteria
Study participants will be adult patients with newly diagnosed (ND) multiple myeloma.
You may qualify if:
- Age ≥ 18 years
- Signed Informed Consent form for study participation and personal data processing
- Diagnosis of active multiple myeloma
You may not qualify if:
- None
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (4)
Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori" - IRST IRCCS
Meldola, Forlì-Cesena, 47014, Italy
IRCCS Azienda Ospedaliero-Universitaria di Bologna
Bologna, 40138, Italy
ARNAS "G. Brotzu" di Cagliari
Cagliari, 09134, Italy
Azienda Ospedaliera Universitaria Federico II
Napoli, 80131, Italy
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Elena Zamagni, MD, PhD
IRCCS Azienda Ospedaliero-Universitaria di Bologna
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 2, 2025
First Posted
January 9, 2025
Study Start
October 30, 2024
Primary Completion
April 2, 2026
Study Completion (Estimated)
August 31, 2026
Last Updated
January 9, 2025
Record last verified: 2024-11
Data Sharing
- IPD Sharing
- Will not share