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Letters to the Editor

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

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
Payvand Clinical, Specialty, Pathology, Medical Genetics and Molecular Laboratory, Tehran
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, Iran; Hematology Department, School of Paramedics, Islamic Azad University, Tehran Medical Sciences, Tehran
Haematologica Early view Mar 6, 2025 https://doi.org/10.3324/haematol.2024.286019

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Early view : Letters to the Editor
 
DOI
https://doi.org/10.3324/haematol.2024.286019
 
Published
2025-03-06
Published By
Ferrata Storti Foundation, Pavia, Italy
Print ISSN
0390-6078
Online ISSN
1592-8721
 
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Copyright (c) 2025 Ferrata Storti Foundation
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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