Machine Learning‐Derived Immune Gene Signature Predicts Prognosis and Therapeutic Vulnerabilities in Multiple Myeloma
ABSTRACT The immune microenvironment contributes substantially to the biological and clinical heterogeneity of multiple myeloma (MM), yet immune‐related molecular biomarkers with reproducible prognostic value remain limited. Here, we developed a 12‐gene immune‐related gene signature (IRGS) using an integrative machine‐...