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ISSUE INFORMATION

Free Access

Issue Information

  • Pages: 217-222
  • First Published: 28 July 2024

ISSUE HIGHLIGHTS

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Issue highlights—July 2024

Wolfgang Kern,  Paul Wallace,  Ryan Brinkman, 
  • Pages: 223-227
  • First Published: 28 July 2024

ORIGINAL ARTICLE

Free Access

Recommendations for using artificial intelligence in clinical flow cytometry

David P. Ng,  Paul D. Simonson,  Attila Tarnok,  Fabienne Lucas,  Wolfgang Kern,  Nina Rolf,  Goce Bogdanoski,  Cherie Green,  Ryan R. Brinkman,  Kamila Czechowska, 
  • Pages: 228-238
  • First Published: 26 February 2024
Free Access

MAGIC-DR: An interpretable machine-learning guided approach for acute myeloid leukemia measurable residual disease analysis

Kevin Shopsowitz,  Jack Lofroth,  Geoffrey Chan,  Jubin Kim,  Makhan Rana,  Ryan Brinkman,  Andrew Weng,  Nadia Medvedev,  Xuehai Wang, 
  • Pages: 239-251
  • First Published: 28 February 2024
Open Access

Minimal residual disease assessment in B-cell precursor acute lymphoblastic leukemia by semi-automated identification of normal hematopoietic cells: A EuroFlow study

Martijn W. C. Verbeek,  Beatriz Soriano Rodríguez,  Lukasz Sedek,  Anna Laqua,  Chiara Buracchi,  Malicorne Buysse,  Michaela Reiterová,  Elen Oliveira,  Daniela Morf,  Sjoerd R. Oude Alink,  Susana Barrena,  Saskia Kohlscheen,  Stefan Nierkens,  Mattias Hofmans,  Paula Fernandez,  Elaine Sobral de Costa,  Ester Mejstrikova,  Tomasz Szczepanski,  Lukasz Slota,  Monika Brüggemann,  Giuseppe Gaipa,  Georgiana Grigore,  Jacques J. M. van Dongen,  Alberto Orfao,  Vincent H. J. van der Velden, 
  • Pages: 252-263
  • First Published: 22 September 2023
Free Access

Automated quantification of measurable residual disease in chronic lymphocytic leukemia using an artificial intelligence-assisted workflow

Alexandre Bazinet,  Alan Wang,  Xinmei Li,  Fuli Jia,  Huan Mo,  Wei Wang,  Sa A. Wang, 
  • Pages: 264-271
  • First Published: 23 February 2023
Free Access

A lasso and random forest model using flow cytometry data identifies primary myelofibrosis

Feng Zhang,  Ya-Zhe Wang,  Yan Chang,  Xiao-Ying Yuan,  Wei-Hua Shi,  Hong-Xia Shi,  Jian-Zhen Shen,  Yan-Rong Liu, 
  • Pages: 272-281
  • First Published: 22 April 2024
Free Access

Comparison of three machine learning algorithms for classification of B-cell neoplasms using clinical flow cytometry data

Wikum Dinalankara,  David P. Ng,  Luigi Marchionni,  Paul D. Simonson, 
  • Pages: 282-293
  • First Published: 09 May 2024

REVIEW ARTICLE

Free Access

Translating the regulatory landscape of medical devices to create fit-for-purpose artificial intelligence (AI) cytometry solutions

Goce Bogdanoski,  Fabienne Lucas,  Wolfgang Kern,  Kamila Czechowska, 
  • Pages: 294-307
  • First Published: 23 February 2024
Free Access

Automation in flow cytometry: Guidelines and review of systems

Ahmad Al-Attar,  Kirthi R. Kumar,  Dorian Untersee,  Marci O'Driscoll,  Miguel Francoise S. Ventura,  Leo Lin, 
  • Pages: 308-320
  • First Published: 13 May 2023