Research Update - Predicting Progression in Multiple Myeloma
- Sep 29, 2020
- 1 min read
Updated: Sep 30, 2020
Mark Bustoros, MD, discusses how the use of genomic predictors in multiple myeloma (MM) allows for a better understanding of who will progress.
VIDEO: :49 Seconds
These risk models provide a way classify patients' needs according to their risks.
It also helps doctors and clinicians gain more accurately predict who is most likely to progress. By understanding the risks, patients and providers can work together more closely to determine the best approach to treatment.
This interview was recorded at the International Myeloma Workshop (IMW) 2019, held in Boston, MA.
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This is a really interesting research update, especially the focus on genomic predictors and risk models for understanding which patients may be more likely to experience progression. Better prediction could make it easier for clinicians to personalize monitoring and treatment decisions. I also appreciate how advances in technology and specialized systems support research that involves analyzing complex biological data. For anyone interested in the technical side of such systems, bios ps2 damonps2 can be an interesting resource to explore as well.
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Clear explanation of how progression can be predicted—early detection and monitoring really seem critical for better outcomes. Curious if similar models could be adapted for broader screening in the future.
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