Computational measurable residual disease assessment in acute myeloid leukemia: a retrospective validation in the HOVON-SAKK-132 trial

Tim R. Mocking; Lukas H. Haaksma; Tom Reuvekamp; Angèle Kelder; Willemijn J. Scholten; Lok Lam Ngai; Dimitri A. Breems; Thomas Fischer; Bjørn T. Gjertsen; Laimonas Griškevičius; Gunnar Juliusson; Johan A. Maertens; Markus G. Manz; Thomas Pabst; Jakob R. Passweg; Kimmo Porkka; Peter J.M. Valk; Patrycja Gradowska; Bob Löwenberg; David C. de Leeuw; Jeroen J.W.M. Janssen; Gert J. Ossenkoppele; Arjan A. van de Loosdrecht; Jacqueline Cloos; Costa Bachas

doi:10.1038/s41375-025-02747-8

Computational measurable residual disease assessment in acute myeloid leukemia: a retrospective validation in the HOVON-SAKK-132 trial

Tim R. Mocking
, Lukas H. Haaksma
, Tom Reuvekamp
, Angèle Kelder
, Willemijn J. Scholten
, Lok Lam Ngai
, Dimitri A. Breems
, Thomas Fischer
, Bjørn T. Gjertsen
, Laimonas Griškevičius
, Gunnar Juliusson
, Johan A. Maertens
, Markus G. Manz
, Thomas Pabst
, Jakob R. Passweg
, Kimmo Porkka
, Peter J.M. Valk
, Patrycja Gradowska
, Bob Löwenberg
, David C. de Leeuw

Jeroen J.W.M. Janssen, Gert J. Ossenkoppele, Arjan A. van de Loosdrecht, Jacqueline Cloos, Costa Bachas^*

^*Corresponding author for this work

Amsterdam UMC
Ziekenhuis aan de Stroom
Ziekenhuis aan de Stroom
Otto von Guericke University Magdeburg
Otto von Guericke University Hospital Magdeburg
University of Bergen
Haukeland University Hospital
Vilnius University
Vilnius University Hospital Santaros Klinikos and Institute of Clinical Medicine, Vilnius, Lithuania
Lund University
Department of Hematology, Skanes University Hospital, Lund, Sweden.
KU Leuven
University Hospital Gasthuisberg
University of Zurich
Swiss Group for Clinical Cancer Research
University Hospital
University of Bern
University of Basel
Helsinki University Hospital
Helsinki University Hospital Comprehensive Cancer Center
Erasmus University Rotterdam
Erasmus University Medical Center Cancer Institute, Rotterdam, Netherlands
HOVON Foundation
Radboud University Nijmegen

Research output: Contribution to journal › Article › Academic › peer-review

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Original language	English
Pages (from-to)	2559-2562
Number of pages	4
Journal	Leukemia
Volume	39
Issue number	10
Early online date	13 Sept 2025
DOIs	https://doi.org/10.1038/s41375-025-02747-8
Publication status	Published - Oct 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Artificial Intelligence (AI)
Computational Biology/methods
Measurable Residual Disease (MRD)
Relapse prediction
acute myeloid leukemia (AML)

Access to Document

10.1038/s41375-025-02747-8

Computational-measurable-residual-disease-assessment-in-acute-myeloid-leukemia.pdfFinal published version, 2.31 MBLicence: CC BY

Cite this

Mocking, T. R., Haaksma, L. H., Reuvekamp, T., Kelder, A., Scholten, W. J., Ngai, L. L., Breems, D. A., Fischer, T., Gjertsen, B. T., Griškevičius, L., Juliusson, G., Maertens, J. A., Manz, M. G., Pabst, T., Passweg, J. R., Porkka, K., Valk, P. J. M., Gradowska, P., Löwenberg, B., ... Bachas, C. (2025). Computational measurable residual disease assessment in acute myeloid leukemia: a retrospective validation in the HOVON-SAKK-132 trial. Leukemia, 39(10), 2559-2562. https://doi.org/10.1038/s41375-025-02747-8

@article{7e4b60c75e1449dc911a3c0c33183217,

title = "Computational measurable residual disease assessment in acute myeloid leukemia: a retrospective validation in the HOVON-SAKK-132 trial",

keywords = "Artificial Intelligence (AI), Computational Biology/methods, Measurable Residual Disease (MRD), Relapse prediction, acute myeloid leukemia (AML)",

author = "Mocking, \{Tim R.\} and Haaksma, \{Lukas H.\} and Tom Reuvekamp and Ang{\`e}le Kelder and Scholten, \{Willemijn J.\} and Ngai, \{Lok Lam\} and Breems, \{Dimitri A.\} and Thomas Fischer and Gjertsen, \{Bj{\o}rn T.\} and Laimonas Gri{\v s}kevi{\v c}ius and Gunnar Juliusson and Maertens, \{Johan A.\} and Manz, \{Markus G.\} and Thomas Pabst and Passweg, \{Jakob R.\} and Kimmo Porkka and Valk, \{Peter J.M.\} and Patrycja Gradowska and Bob L{\"o}wenberg and \{de Leeuw\}, \{David C.\} and Janssen, \{Jeroen J.W.M.\} and Ossenkoppele, \{Gert J.\} and \{van de Loosdrecht\}, \{Arjan A.\} and Jacqueline Cloos and Costa Bachas",

year = "2025",

month = oct,

doi = "10.1038/s41375-025-02747-8",

language = "English",

volume = "39",

pages = "2559--2562",

journal = "Leukemia",

issn = "0887-6924",

publisher = "Nature Publishing Group",

number = "10",

}

Mocking, TR , Haaksma, LH , Reuvekamp, T, Kelder, A, Scholten, WJ, Ngai, LL, Breems, DA, Fischer, T, Gjertsen, BT, Griškevičius, L, Juliusson, G, Maertens, JA, Manz, MG, Pabst, T, Passweg, JR, Porkka, K, Valk, PJM, Gradowska, P, Löwenberg, B, de Leeuw, DC , Janssen, JJWM , Ossenkoppele, GJ , van de Loosdrecht, AA , Cloos, J & Bachas, C 2025, 'Computational measurable residual disease assessment in acute myeloid leukemia: a retrospective validation in the HOVON-SAKK-132 trial', Leukemia, vol. 39, no. 10, pp. 2559-2562. https://doi.org/10.1038/s41375-025-02747-8

TY - JOUR

T1 - Computational measurable residual disease assessment in acute myeloid leukemia

T2 - a retrospective validation in the HOVON-SAKK-132 trial

AU - Mocking, Tim R.

AU - Haaksma, Lukas H.

AU - Reuvekamp, Tom

AU - Kelder, Angèle

AU - Scholten, Willemijn J.

AU - Ngai, Lok Lam

AU - Breems, Dimitri A.

AU - Fischer, Thomas

AU - Gjertsen, Bjørn T.

AU - Griškevičius, Laimonas

AU - Juliusson, Gunnar

AU - Maertens, Johan A.

AU - Manz, Markus G.

AU - Pabst, Thomas

AU - Passweg, Jakob R.

AU - Porkka, Kimmo

AU - Valk, Peter J.M.

AU - Gradowska, Patrycja

AU - Löwenberg, Bob

AU - de Leeuw, David C.

AU - Janssen, Jeroen J.W.M.

AU - Ossenkoppele, Gert J.

AU - van de Loosdrecht, Arjan A.

AU - Cloos, Jacqueline

AU - Bachas, Costa

PY - 2025/10

Y1 - 2025/10

KW - Artificial Intelligence (AI)

KW - Computational Biology/methods

KW - Measurable Residual Disease (MRD)

KW - Relapse prediction

KW - acute myeloid leukemia (AML)

UR - https://www.scopus.com/pages/publications/105015189005

U2 - 10.1038/s41375-025-02747-8

DO - 10.1038/s41375-025-02747-8

M3 - Article

C2 - 40903492

AN - SCOPUS:105015189005

SN - 0887-6924

VL - 39

SP - 2559

EP - 2562

JO - Leukemia

JF - Leukemia

IS - 10

ER -

Computational measurable residual disease assessment in acute myeloid leukemia: a retrospective validation in the HOVON-SAKK-132 trial

UN SDGs

Keywords

Access to Document

Other files and links

Snellere analyse van leukemiecellen dankzij AI

Effectiever voorspellen met AI

AI accelerates leukemia cell detection

Cite this

Computational measurable residual disease assessment in acute myeloid leukemia: a retrospective validation in the HOVON-SAKK-132 trial

UN SDGs

Keywords

Access to Document

Other files and links

Press/Media

Snellere analyse van leukemiecellen dankzij AI

Effectiever voorspellen met AI

AI accelerates leukemia cell detection

Cite this