Rapid diagnosis of hereditary haemolytic anaemias using automated rheoscopy and supervised machine learning

Pedro L Moura, Johannes G G Dobbe, Geert J Streekstra, Minke A E Rab, Martijn Veldthuis, Elisa Fermo, Richard van Wijk, Rob van Zwieten, Paola Bianchi, Ashley M Toye*, Timothy J Satchwell*

*Corresponding author for this work

Research output: Contribution to journalLetterAcademicpeer-review

Original languageEnglish
Pages (from-to)e250-e255
JournalBritish Journal of Haematology
Volume190
Issue number4
DOIs
Publication statusPublished - Aug 2020

Keywords

  • Anemia, Hemolytic, Congenital Nonspherocytic/blood
  • Anemia, Hemolytic, Congenital/blood
  • Automation
  • Blood Viscosity
  • Datasets as Topic
  • Erythrocyte Deformability
  • Erythrocytes, Abnormal/ultrastructure
  • Humans
  • Hydrops Fetalis/blood
  • Image Processing, Computer-Assisted/instrumentation
  • Pyruvate Kinase/blood
  • Pyruvate Metabolism, Inborn Errors/blood
  • Reticulocytes/ultrastructure
  • Single-Cell Analysis/instrumentation
  • Supervised Machine Learning

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