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PRECISION MEDICINE

Personalizing routine lab tests with machine learning

Nature Medicine volume 27, pages 1514–1515 (2021)Cite this article

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Machine learning applied to electronic medical records can be used to create personalized lab-test reference ranges and to quantify disease risk, which will pave the way for precision medicine in clinical care.

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Fig. 1: General workflow for modeling patient EMR data for personalized medicine.

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Authors and Affiliations

  1. Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA, USA

    Alice Tang, Tomiko Oskotsky & Marina Sirota

  2. Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA

    Alice Tang, Tomiko Oskotsky & Marina Sirota

  3. Bioengineering Graduate Program, University of California San Francisco, San Francisco, CA, USA

    Alice Tang

Authors
  1. Alice Tang
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  2. Tomiko Oskotsky
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  3. Marina Sirota
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Corresponding author

Correspondence to Marina Sirota.

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The authors declare no competing interests.

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Tang, A., Oskotsky, T. & Sirota, M. Personalizing routine lab tests with machine learning. Nat Med 27, 1514–1515 (2021). https://doi.org/10.1038/s41591-021-01486-4

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