AI could predict multiple myeloma outcomes using existing patient data
NCT ID NCT07283224
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study looks at data already collected from 600 multiple myeloma patients to find patterns linking genetics, imaging, and clinical outcomes. Researchers will use artificial intelligence to build models that might predict disease progression and treatment response. No new tests or visits are needed—only existing information is analyzed. The goal is to improve future care without any extra burden on patients.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to better ways to predict how multiple myeloma will progress and how patients will respond to treatment, helping doctors personalize care.
- What could go wrong
- This is an early-stage data analysis study, not a treatment trial. The AI models may not prove accurate enough for real-world use, and results may not apply to all patients.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for MYELOMA MULTIPLE are added.
By submitting, you agree to our Terms of use
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
IRCCS AOU Policlinico Sant'Orsola
RECRUITINGBologna, Bo, 40138, Italy
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Can a new drug combo outsmart resistant myeloma?
- Real-world data on multiple myeloma immunotherapies could reshape monitoring and improve survival
- Could an ALS drug clear the fog of chemo brain?
- Immune cell 'Fitness' may predict success of advanced myeloma therapies in older patients
- Gene clues may unlock new treatments for bone marrow cancer
- New study monitors infection risks in blood cancer patients on bispecific antibodies