Utilization of machine learning to predict antibiotic resistant event outcomes in acute myeloid leukemia patients undergoing induction chemotherapy

Utilization of machine learning to predict antibiotic resistant event outcomes in acute myeloid leukemia patients undergoing induction chemotherapy

IntroductionAcute myeloid leukemia (AML) patients are highly susceptible to infection. Moreover, prophylactic and empirical antibiotic treatment during chemotherapy disrupts the gut microbiome, raising the risk for antibiotic-resistant (AR) opportunistic pathogens. There is limited data on risk fact...

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Bibliographic Details
Main Authors: Stephanie McMahon, Samantha Franklin, Jessica Galloway-Peña
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Cellular and Infection Microbiology
Subjects:
antibiotic resistance
acute myeloid leukemia
random-forest
microbiome
resistome
Online Access:https://www.frontiersin.org/articles/10.3389/fcimb.2025.1629422/full
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https://www.frontiersin.org/articles/10.3389/fcimb.2025.1629422/full

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