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Learning curve: machine learning takes on pediatric hematologic malignancy risk-stratification.

作者信息

King Zoe, Mitchell William B

机构信息

Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA.

出版信息

Pediatr Res. 2025 Feb;97(2):480-481. doi: 10.1038/s41390-024-03661-y. Epub 2024 Oct 25.

DOI:10.1038/s41390-024-03661-y
PMID:39455861
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12014470/
Abstract
摘要

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本文引用的文献

1
Genomic profiling for clinical decision making in myeloid neoplasms and acute leukemia.基因组分析在髓系肿瘤和急性白血病中的临床决策应用。
Blood. 2022 Nov 24;140(21):2228-2247. doi: 10.1182/blood.2022015853.
2
Integrated Risk Stratification Using Minimal Residual Disease and Sentinel Genetic Alterations in Pediatric Acute Lymphoblastic Leukemia.利用微小残留病和哨兵基因改变对小儿急性淋巴细胞白血病进行综合风险分层
J Clin Oncol. 2018 Jan 1;36(1):4-6. doi: 10.1200/JCO.2017.76.0504. Epub 2017 Nov 13.
3
Biology, risk stratification, and therapy of pediatric acute leukemias: an update.儿科急性白血病的生物学、风险分层和治疗：更新。
J Clin Oncol. 2011 Feb 10;29(5):551-65. doi: 10.1200/JCO.2010.30.7405. Epub 2011 Jan 10.