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Artificial intelligence in longevity medicine

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.


  1. Cutler, R. G. & Mattson, M. P. Ageing Res. Rev. 5, 221–238 (2006).

    Article  CAS  Google Scholar 

  2. de Grey, A. D. N. J. SELT (2007).

  3. Kaneshiro, B., Geling, O., Gellert, K. & Millar, L. Hawaii Med. J. 70, 168–171 (2011).

    PubMed  PubMed Central  Google Scholar 

  4. Yadav, D., Singh, R., Vatsa, M. & Noore, A. PLoS ONE 9, e112234 (2014).

    Article  Google Scholar 

  5. Esteva, A. et al. Nat. Med. 25, 24–29 (2019).

    Article  CAS  Google Scholar 

  6. Mnih, V. et al. Nature 518, 529–533 (2015).

    Article  CAS  Google Scholar 

  7. Hinkson, I. V., Madej, B. & Stahlberg, E. A. Front. Pharmacol. 11, 770 (2020).

    Article  Google Scholar 

  8. Zhavoronkov, A. & Mamoshina, P. Trends Pharmacol. Sci. 40, 546–549 (2019).

    Article  CAS  Google Scholar 

  9. Mamoshina, P. et al. Sci. Rep. 9, 142 (2019).

    Article  Google Scholar 

  10. Hou, Y.-C. C. et al. Proc. Natl Acad. Sci. USA 117, 3053–3062 (2020).

    Article  CAS  Google Scholar 

  11. Moore, J. H. & Raghavachari, N., Workshop Speakers. Front. Artif. Intell. 2, 12 (2019).

    Article  Google Scholar 

  12. Zhavoronkov, A., Li, R., Ma, C. & Mamoshina, P. Aging 11, 10771–10780 (2019).

    Article  Google Scholar 

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Authors and Affiliations



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.

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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).

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