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一种用于快速识别急性髓系白血病中可测量残留病的机器学习方法。

A machine learning approach for the rapid identification of measurable residual disease in acute myeloid leukemia.

作者信息

Vahedi Amirali, Royaei Mohammadreza, Madani Tahereh, Mercier François, Poopak Behzad

机构信息

Division of Experimental Medicine, Department of Medicine, McGill University, Montreal, QC, Canada; Lady Davis Institute for Medical Research, Montreal, QC.

Payvand Clinical, Specialty, Pathology, Medical Genetics and Molecular Laboratory, Tehran.

出版信息

Haematologica. 2025 Mar 6. doi: 10.3324/haematol.2024.286019.

DOI:10.3324/haematol.2024.286019
PMID:40045896
Abstract

Not available.

摘要

无法提供。

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Cytometry B Clin Cytom. 2024 Jul;106(4):239-251. doi: 10.1002/cyto.b.22168. Epub 2024 Feb 28.
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Blood Adv. 2023 Aug 22;7(16):4550-4554. doi: 10.1182/bloodadvances.2023010140.
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UMAP Based Anomaly Detection for Minimal Residual Disease Quantification within Acute Myeloid Leukemia.
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