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

Br J Haematol. 2020 Aug;190(4):e250-e255. doi: 10.1111/bjh.16868. Epub 2020 Jul 5.

Pedro L Moura^{1

2}, Johannes G G Dobbe³, Geert J Streekstra³, Minke A E Rab^{4

5}, Martijn Veldthuis⁶, Elisa Fermo⁷, Richard van Wijk⁴, Rob van Zwieten^{6

8}, Paola Bianchi⁷, Ashley M Toye^{1

2

9}, Timothy J Satchwell^{1

2

9}

¹ School of Biochemistry, University of Bristol, Biomedical Sciences Building, University Walk, Bristol, BS8 1TD, UK.
² NIHR Blood and Transplant Research Unit in Red Cell Products, University of Bristol, Bristol, UK.
³ Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
⁴ Department of Clinical Chemistry and Haematology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
⁵ Van Creveldkliniek, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
⁶ Department of Blood Cell Research, Amsterdam, The Netherlands.
⁷ UOC Ematologia, UOS Fisiopatologia delle Anemie, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy.
⁸ Laboratory of Red Blood Cell Diagnostics, Amsterdam, The Netherlands.
⁹ Bristol Institute for Transfusion Sciences, National Health Service Blood and Transplant (NHSBT), Filton, UK.

No abstract available

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