Using Proteomics Data to Identify Personalized Treatments in Multiple Myeloma: A Machine Learning Approach

Using Proteomics Data to Identify Personalized Treatments in Multiple Myeloma: A Machine Learning Approach

This paper describes a machine learning (ML) decision support system to provide a list of chemotherapeutics that individual multiple myeloma (MM) patients are sensitive/resistant to, based on their proteomic profile. The methodology used in this study involved understanding the parameter space and s...

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Bibliographic Details
Main Authors: Angeliki Katsenou, Roisin O’Farrell, Paul Dowling, Caroline A. Heckman, Peter O’Gorman, Despina Bazou
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:International Journal of Molecular Sciences
Subjects:
multiple myeloma
proteomics
drug sensitivity score
machine learning
Online Access:https://www.mdpi.com/1422-0067/24/21/15570

Internet

https://www.mdpi.com/1422-0067/24/21/15570

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