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FRAILTY

Machine learning to spot frailty in aging mice

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Mouse frailty can be measured with a frailty index by manually counting health deficits. Vivek Kumar and colleagues use machine learning to extract physical performance deficits from video data to create a ‘visual frailty index’. This automated technique may facilitate high-throughput research into new frailty interventions.

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Fig. 1: Schematic diagram illustrating construction of a visual frailty index in aging mice.

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Authors and Affiliations

  1. Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada

    Elise S. Bisset & Susan E. Howlett

  2. Department of Medicine (Geriatric Medicine), Dalhousie University, Halifax, Nova Scotia, Canada

    Susan E. Howlett

Authors
  1. Elise S. Bisset
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  2. Susan E. Howlett
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Corresponding authors

Correspondence to Elise S. Bisset or Susan E. Howlett.

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The authors declare no competing interests.

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Bisset, E.S., Howlett, S.E. Machine learning to spot frailty in aging mice. Nat Aging 2, 684–685 (2022). https://doi.org/10.1038/s43587-022-00267-z

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