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Artificial intelligence in longevity medicine

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Recent advances in deep learning enabled the development of AI systems that outperform humans in many tasks and have started to empower scientists and physicians with new tools. In this Comment, we discuss how recent applications of AI to aging research are leading to the emergence of the field of longevity medicine.

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Fig. 1: AI in longevity medicine.

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Authors and Affiliations

  1. Deep Longevity, Inc., Hong Kong, China

    Alex Zhavoronkov

  2. Insilico Medicine, Inc., Hong Kong, China

    Alex Zhavoronkov

  3. The Buck Institute for Research on Aging, Novato, CA, USA

    Alex Zhavoronkov

  4. University Hospital of Basel, Division of Internal Medicine, University of Basel, Basel, Switzerland

    Evelyne Bischof

  5. Shanghai University of Medicine and Health Sciences, College of Clinical Medicine, Shanghai, China

    Evelyne Bischof

  6. Sinovation Ventures, Beijing, China

    Kai-Fu Lee

  7. Sinovation AI Institute, Beijing, China

    Kai-Fu Lee

Authors
  1. Alex Zhavoronkov
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  2. Evelyne Bischof
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  3. Kai-Fu Lee
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Contributions

K.F.L. and A.Z. both contributed to the design and implementation of the research and to the writing of the manuscript. E.B. contributed to the rewriting and editing of the manuscript and supported the initial design.

Corresponding author

Correspondence to Alex Zhavoronkov.

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Competing interests

K.F.L. is the founder of Sinovation Ventures, a commercial venture fund investing in AI with commercial interests in a broad range of AI companies and projects relating to longevity medicine. A.Z. is the founder and shareholder of Insilico Medicine, a drug discovery company with a focus on aging and age-related diseases, and Deep Longevity, a commercial company specializing in biomarker development and DACs. E.B. is an independent advisor to Insilico Medicine.

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Zhavoronkov, A., Bischof, E. & Lee, KF. Artificial intelligence in longevity medicine. Nat Aging 1, 5–7 (2021). https://doi.org/10.1038/s43587-020-00020-4

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