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. 2022 Mar 3;139(9):1424–1425. doi: 10.1182/blood.2021015278

Awada H, Durmaz A, Gurnari C, et al. Machine learning integrates genomic signatures for subclassification beyond primary and secondary acute myeloid leukemia. Blood. 2021;138(19):1885-1895.

PMCID: PMC9211388  PMID: 35238883

Figure 1 and the visual abstract had errors that were introduced during processing by the compositor.

Page 1889: In Figure 1A, “pAML (n=832)” should read “sAML (n=832).” In Figure 1D and E, “–17/del(17q)” should read “–17/del(17p).” The corrected Figure 1 is shown below.

graphic file with name bloodBLD2021015278f1.jpg

In the visual abstract, chromosomal abnormalities should have been set in roman rather than italic type. Throughout the visual abstract, “−17/del(17q)” should read “−17/del(17p)” and “pathomorpjological” should read “pathomorphological.” In the list of genetic abnormalities for genomic subgroup GC-2, “JDH2(+)” should read “IDH2(+).” In the list of genetic abnormalities for genomic subgroup GC-3, ASXL1(+) was missing. In the list of genetic abnormalities for genomic subgroup GC-4, “NPM4(−)” should read “NPM1(−).” In the second and third graphs in the middle column, the colors were incorrect. The corrected visual abstract is shown below.

graphic file with name bloodBLD2021015278f2.jpg

The publisher apologizes for the errors, which have been corrected in the online version of the article.

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