Genomic Biomarkers to Predict Resistance to Hypomethylating Agents in Patients With Myelodysplastic Syndromes Using Artificial Intelligence

PURPOSE: We developed an unbiased framework to study the association of several mutations in predicting resistance to hypomethylating agents (HMAs) in patients with myelodysplastic syndromes (MDS), analogous to consumer and commercial recommender systems in which customers who bought products A and...

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Bibliografische gegevens
Gepubliceerd in:JCO Precis Oncol
Hoofdauteurs: Nazha, Aziz, Sekeres, Mikkael A., Bejar, Rafael, Rauh, Michael J., Othus, Megan, Komrokji, Rami S., Barnard, John, Hilton, Cameron B., Kerr, Cassandra M., Steensma, David P., DeZern, Amy, Roboz, Gail, Garcia-Manero, Guillermo, Erba, Harry, Ebert, Benjamin L., Maciejewski, Jaroslaw P.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: American Society of Clinical Oncology 2019
Onderwerpen:
Original Report
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6818517/
https://ncbi.nlm.nih.gov/pubmed/31663066
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1200/PO.19.00119
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