A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data

A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data

Abstract In this paper, we introduce QProteoML, a new quantum machine learning (QML) framework for predicting drug sensitivity in Multiple Myeloma (MM) using high-dimensional proteomic data. MM, an extremely heterogeneous condition, displays often mixed responses to treatment, with a large number of...

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Bibliographic Details
Main Authors: M. Priyadharshini, B. Deevena Raju, A. Faritha Banu, P. Jagdish Kumar, V. Murugesh, Oleg Rybin
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Quantum machine learning (QML)
Multiple myeloma
Drug sensitivity prediction
QSVM
Proteomics data
Biomarker discovery
Online Access:https://doi.org/10.1038/s41598-025-06544-2
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https://doi.org/10.1038/s41598-025-06544-2

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