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Unsupervised Multiomics Integration Identifies Prognostic Subtypes and Druggable Vulnerabilities in Multiple Myeloma

2026-06-17

Abstract excerpt

<title>Abstract</title> <p>Multiple myeloma (MM) is a clinically and genomically heterogeneous plasma-cell malignancy in which existing risk stratification systems fail to fully capture survival variability. In this study, we developed an unsupervised deep learning–based multiomics integration framework to improve prognostic stratification and identify biologically informed, potentially druggable vulnerabilities....

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Literature Corpus work
c9ab0850-d92f-5587-bb43-715be496d5fe
DOI
10.21203/rs.3.rs-9713112/v1
Open publication

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Unsupervised Multiomics Integration Identifies Prognostic Subtypes and Druggable Vulnerabilities in Multiple MyelomaDOI 10.21203/rs.3.rs-9713112/v1
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