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Nephrology

Automating kidney transplant diagnostics

Nature Medicine volume 29, pages 1066–1067 (2023)Cite this article

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Diagnosis of kidney allograft rejection remains complex and somewhat subjective; but an automated version of the gold-standard Banff classification could streamline assessment and improve diagnostic accuracy.

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Fig. 1: From precision diagnostic tools to improved kidney allograft patient care.

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Author information

Authors and Affiliations

  1. School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK

    Nissrin Alachkar

  2. School of Mathematics, Faculty of Science and Engineering, University of Manchester, Manchester, UK

    Nissrin Alachkar

  3. Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA

    Nada Alachkar

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  1. Nissrin Alachkar
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  2. Nada Alachkar
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Correspondence to Nada Alachkar.

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The authors declare no competing interests.

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Alachkar, N., Alachkar, N. Automating kidney transplant diagnostics. Nat Med 29, 1066–1067 (2023). https://doi.org/10.1038/s41591-023-02300-z

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