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How to sequence BCMA-directed therapies in early relapsed/ refractory multiple myeloma
At the ESH 7th Translational Research Conference:
Multiple Myeloma
with Martin Kaiser, Mohamad Mohty, and Rakesh Popat
Saturday, October 5, 2024 | 09:10-10:10 CEST
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During the 5th European Myeloma Network Meeting, the Multiple Myeloma Hub was pleased to speak with Adrián Mosquera Orgueira, University of Santiago de Compostela, Santiago, ES. We asked, How might artificial intelligence (AI) be incorporated into the diagnosis and management of multiple myeloma?
How might AI be incorporated into the diagnosis and management of MM?
Adrián Mosquera Orgueira opens by emphasizing the importance of standardization of both diagnostic and prognostic tools in multiple myeloma (MM). He goes on to discuss how AI could be utilized to achieve this, particularly in more complex indicators such as measurable residual disease (MRD) and risk status. Mosquera Orgueira further highlights the predictive capability of AI to use patient profiles to determine which individuals will receive the most benefit from therapy, therefore helping tailor individualized treatment approaches.
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