AI-powered imaging to predict and monitor multiple myeloma
Official title: Advancing Multiple Myeloma Prognostication and Monitoring through AI-Powered Comprehensive Imaging
Funded at Icahn School of Medicine at Mount Sinai · NIH-11381000 · Data updated 2026-11-12
A patient-friendly project uses artificial intelligence to read whole-body MRI scans and predict how multiple myeloma will behave, helping doctors tailor care.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Icahn School of Medicine at Mount Sinai NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | August 1, 2025 |
| Project end | June 30, 2029 |
| Funding year | 2026 |
| Award (this year) | $743,787 |
| NIH project number | 5R01EB036536-02 |
| Project ID | NIH-11381000 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults diagnosed with multiple myeloma who are undergoing imaging as part of their standard care and who can have WB-MRI scans.
✕Less likely to help
Patients who do not undergo WB-MRI imaging as part of their care or who have contraindications to MRI may not directly benefit.
What this research studies
This project will develop deep learning tools to automatically identify bone lesions, fat fractions, muscle loss, and bone density from whole-body MRI scans in people with multiple myeloma. The goal is to create AI models that can predict disease progression and treatment response and support your care team in making timely decisions. It will combine imaging data with other markers to improve accuracy while keeping patient safety and privacy in mind. The work relies on advanced imaging and computer analysis to translate complex scans into actionable insights for patients and clinicians.
Why it matters
Potential benefit: If successful, it could lead to faster, more accurate monitoring and more personalized treatment planning for multiple myeloma patients.
How similar studies have gone: Previous imaging-guided AI studies have shown promise, but this project aims to advance multi-modal models specific to multiple myeloma.
Where this research is happening
-
Icahn School of Medicine at Mount Sinai
New York, United States Active
Researchers
- Principal investigator: Mei, Xueyan — Icahn School of Medicine at Mount Sinai
- Study coordinator: Mei, Xueyan
Related research
Other NIH-funded projects on the same topics.
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Integrative study of multiple myeloma genetics and disease biology
A team at Dana-Farber and partners is pursuing a long-term project to understand the genetic and molecular drivers of multiple myeloma and how treatments interact with disease biology.
-
Comparative Modeling to Prevent, Detect Early, and Treat Multiple Myeloma
A research team will build and compare computer models to understand how multiple myeloma develops, can be detected earlier, and treated more effectively.
-
How LDL Affects Multiple Myeloma: New Pathways to Keep Remission
A new grant is studying how cholesterol from LDL particles fuels multiple myeloma and how this interaction influences the tumor environment and immune response, with goals to help patients stay in remission.
-
Therapy-induced senescence and immune activation in multiple myeloma
A study in people with multiple myeloma will explore how treatment-related senescence in cancer cells may stimulate the immune system and affect cancer return after standard frontline therapy.
-
BCMA CAR-T enteritis: understanding immune toxicities in multiple myeloma
A broad study to uncover why some CAR-T cell treatments targeting BCMA cause severe intestinal inflammation in people with multiple myeloma.
-
Understanding Drug-Resistant Multiple Myeloma to Stop Relapse
Researchers are studying why some myeloma cells resist treatment and how to create new therapies to prevent relapse.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.