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Comment
. 2018 Aug 2;23(2):162-163.
doi: 10.1016/j.stem.2018.07.005.

AML: Predicting the Unpredictable

Koichi Takahashi  1
Affiliations
Free article
Comment

AML: Predicting the Unpredictable

Koichi Takahashi. Cell Stem Cell. .
Free article

Abstract

Acute myeloid leukemia (AML) has been considered an unpredictable and unpreventable disease. Recently in Nature, Abelson et al. (2018) presented two models of AML risk prediction, one using the detection of high-risk age-related clonal hematopoiesis and the other using dynamic clinical attributes available from routine blood work.

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  • Prediction of acute myeloid leukaemia risk in healthy individuals.
    Abelson S, Collord G, Ng SWK, Weissbrod O, Mendelson Cohen N, Niemeyer E, Barda N, Zuzarte PC, Heisler L, Sundaravadanam Y, Luben R, Hayat S, Wang TT, Zhao Z, Cirlan I, Pugh TJ, Soave D, Ng K, Latimer C, Hardy C, Raine K, Jones D, Hoult D, Britten A, McPherson JD, Johansson M, Mbabaali F, Eagles J, Miller JK, Pasternack D, Timms L, Krzyzanowski P, Awadalla P, Costa R, Segal E, Bratman SV, Beer P, Behjati S, Martincorena I, Wang JCY, Bowles KM, Quirós JR, Karakatsani A, La Vecchia C, Trichopoulou A, Salamanca-Fernández E, Huerta JM, Barricarte A, Travis RC, Tumino R, Masala G, Boeing H, Panico S, Kaaks R, Krämer A, Sieri S, Riboli E, Vineis P, Foll M, McKay J, Polidoro S, Sala N, Khaw KT, Vermeulen R, Campbell PJ, Papaemmanuil E, Minden MD, Tanay A, Balicer RD, Wareham NJ, Gerstung M, Dick JE, Brennan P, Vassiliou GS, Shlush LI. Abelson S, et al. Nature. 2018 Jul;559(7714):400-404. doi: 10.1038/s41586-018-0317-6. Epub 2018 Jul 9. Nature. 2018. PMID: 29988082 Free PMC article.

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