Machine Learning-Based Flow Cytometry Diagnostics in Myelodysplastic Syndromes: Validation in the HOVON89 Clinical Trial (EudraCT 2008-002195-10)

Carolien Duetz; Sofie Van Gassen; Theresia M. Westers; Florentien in 't Hout; Eline Cremers; Canan Alhan; Costa Bachas; Margot F. Van Spronsen; Heleen Visser-Wisselaar; Dana Chitu; Aniek O. De Graaf; Joop Jansen; Yvan Saeys; Arjan van de Loosdrecht

doi:https://doi.org/10.1182/blood-2020-136719

Machine Learning-Based Flow Cytometry Diagnostics in Myelodysplastic Syndromes: Validation in the HOVON89 Clinical Trial (EudraCT 2008-002195-10)

Carolien Duetz, Sofie Van Gassen, Theresia M. Westers, Florentien in 't Hout, Eline Cremers, Canan Alhan, Costa Bachas, Margot F. Van Spronsen, Heleen Visser-Wisselaar, Dana Chitu, Aniek O. De Graaf, Joop Jansen, Yvan Saeys, Arjan van de Loosdrecht

Research output: Contribution to journal › Meeting Abstract › Academic

Original language	English
Journal	Blood
Volume	136
DOIs	https://doi.org/10.1182/blood-2020-136719
Publication status	Published - 5 Nov 2020

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https://doi.org/10.1182/blood-2020-136719

Cite this

Duetz, C., Van Gassen, S., Westers, T. M., in 't Hout, F., Cremers, E., Alhan, C., Bachas, C., Van Spronsen, M. F., Visser-Wisselaar, H., Chitu, D., De Graaf, A. O., Jansen, J., Saeys, Y., & van de Loosdrecht, A. (2020). Machine Learning-Based Flow Cytometry Diagnostics in Myelodysplastic Syndromes: Validation in the HOVON89 Clinical Trial (EudraCT 2008-002195-10). Blood, 136. https://doi.org/10.1182/blood-2020-136719

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title = "Machine Learning-Based Flow Cytometry Diagnostics in Myelodysplastic Syndromes: Validation in the HOVON89 Clinical Trial (EudraCT 2008-002195-10)",

author = "Carolien Duetz and {Van Gassen}, Sofie and Westers, {Theresia M.} and {in 't Hout}, Florentien and Eline Cremers and Canan Alhan and Costa Bachas and {Van Spronsen}, {Margot F.} and Heleen Visser-Wisselaar and Dana Chitu and {De Graaf}, {Aniek O.} and Joop Jansen and Yvan Saeys and {van de Loosdrecht}, Arjan",

year = "2020",

month = nov,

day = "5",

doi = "https://doi.org/10.1182/blood-2020-136719",

language = "English",

volume = "136",

journal = "Blood",

issn = "0006-4971",

publisher = "American Society of Hematology",

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Duetz, C, Van Gassen, S, Westers, TM, in 't Hout, F, Cremers, E, Alhan, C , Bachas, C , Van Spronsen, MF, Visser-Wisselaar, H, Chitu, D, De Graaf, AO, Jansen, J, Saeys, Y & van de Loosdrecht, A 2020, 'Machine Learning-Based Flow Cytometry Diagnostics in Myelodysplastic Syndromes: Validation in the HOVON89 Clinical Trial (EudraCT 2008-002195-10)', Blood, vol. 136. https://doi.org/10.1182/blood-2020-136719

TY - JOUR

T1 - Machine Learning-Based Flow Cytometry Diagnostics in Myelodysplastic Syndromes: Validation in the HOVON89 Clinical Trial (EudraCT 2008-002195-10)

AU - Duetz, Carolien

AU - Van Gassen, Sofie

AU - Westers, Theresia M.

AU - in 't Hout, Florentien

AU - Cremers, Eline

AU - Alhan, Canan

AU - Bachas, Costa

AU - Van Spronsen, Margot F.

AU - Visser-Wisselaar, Heleen

AU - Chitu, Dana

AU - De Graaf, Aniek O.

AU - Jansen, Joop

AU - Saeys, Yvan

AU - van de Loosdrecht, Arjan

PY - 2020/11/5

Y1 - 2020/11/5

U2 - https://doi.org/10.1182/blood-2020-136719

DO - https://doi.org/10.1182/blood-2020-136719

M3 - Meeting Abstract

SN - 0006-4971

VL - 136

JO - Blood

JF - Blood

ER -