A model that may better classify multiple myeloma (MM) using genetic sequence data from hundreds of patients has been developed. The model can identify specific genes and genetic alterations responsible for disease subtypes related to a risk of relapse, and it may contribute to the identification of targeted therapies, according to the study’s researchers, led by a team at the Icahn School of Medicine at Mount Sinai, New York. “Our findings have immediate implications for…
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