Using past records to predict how multiple myeloma progresses and responds to treatment
Studies existing multiple myeloma records to build computer models predicting disease course.
Plain-language title generated from the registry record
Registry title: Anonymization of Clinical Data From Pseudonymized Databases Collected as Part of Previus Clinical Trials on Multiple Myeloma
Key facts
- Where
- Bologna, ItalySee the site
Where in Italy
- IRCCS AOU Policlinico Sant'OrsolaBologna, ItalyTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- IRCCS Azienda Ospedaliero-Universitaria di Bologna
- Trial code
- NCT07283224
- Record updated
- 12 May 2026
- Original description
This is a retrospective, observational, single-center study conducted at the Hematology Unit of the IRCCS Azienda Ospedaliero-Universitaria di Bologna. The study aims to integrate genomic, clinical, and imaging data-all previously collected and pseudonymized-from earlier spontaneous studies carried out by the Hematology Unit. The main goal is to explore how genetic, clinical, and imaging features relate to disease outcomes and to develop predictive models using artificial intelligence (AI) and machine learning (ML). These models may help forecast disease progression and treatment response in the future. By combining different types of data, the research team hopes to develop new methods to predict disease progression and treatment outcomes. No new procedures, tests, or patient visits are required for this study. All the information analyzed will come from existing data collected as part of past clinical practice or previous research projects. Once anonymized, it will no longer be possible to identify individual patients. The anonymized dataset will be securely developed and stored by the bioinformatics team at the Hematology Unit of IRCCS AOUBO.Read full original descriptionShow less
Anonymization of Clinical Data From Pseudonymized Databases Collected as Part of Previus Clinical Trials on Multiple Myeloma
This is a retrospective, observational, single-center study conducted at the Hematology Unit of the IRCCS Azienda Ospedaliero-Universitaria di Bologna. The study aims to integrate genomic, clinical, and imaging data-all previously collected and pseudonymized-from earlier spontaneous studies carried out by the Hematology Unit. The main goal is to explore how genetic, clinical, and imaging features relate to disease outcomes and to develop predictive models using artificial intelligence (AI) and machine learning (ML). These models may help forecast disease progression and treatment response in the future. By combining different types of data, the research team hopes to develop new methods to predict disease progression and treatment outcomes. No new procedures, tests, or patient visits are required for this study. All the information analyzed will come from existing data collected as part of past clinical practice or previous research projects. Once anonymized, it will no longer be possible to identify individual patients. The anonymized dataset will be securely developed and stored by the bioinformatics team at the Hematology Unit of IRCCS AOUBO.
Inclusion: Age ≥18 years; Signed Informed Consent; Patients with confirmed diagnosis of MM, previously enrolled in spontaneous trial conducted at the UOC Ematologia, IRCCS AOU di Bologna, from 2021, for whom pseudonymized datasets are already available at the start of this study.
Exclusion: None.