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Machine learning in precision medicine: lessons to learn

Nature Reviews Rheumatology volume 17, pages 5–6 (2021)Cite this article

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The ability to predict how a patient might respond to a medication would shift treatment decisions away from trial and error and reduce disease-associated health and financial burdens. Machine learning approaches applied to genomic datasets offer great promise to deliver personalized medicine but their application must first be optimized.

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Acknowledgements

The work of D.P. and A.B. is supported by the National Institute for Health Research (NIHR) Manchester Biomedical Research Centre and by the Versus Arthritis Centre for Genetics and Genomics. A.B. is an NIHR Senior Investigator.

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Authors and Affiliations

  1. NIHR Manchester Biomedical Research Centre, Manchester University NHS Trust, Manchester Academic Health Science Centre, Manchester, UK

    Darren Plant & Anne Barton

  2. Versus Arthritis Centre for Genetics and Genomics, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK

    Darren Plant & Anne Barton

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  1. Darren Plant
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  2. Anne Barton
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Correspondence to Anne Barton.

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The authors declare no competing interests.

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The views expressed in this article are those of the authors and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health.

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Plant, D., Barton, A. Machine learning in precision medicine: lessons to learn. Nat Rev Rheumatol 17, 5–6 (2021). https://doi.org/10.1038/s41584-020-00538-2

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