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Harnessing artificial intelligence to transform Alzheimer’s disease research

Nature Medicine volume 31, pages 1384–1385 (2025)Cite this article

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Alzheimer’s disease remains one of the most formidable challenges in contemporary medicine, necessitating innovative strategies to expedite the development of effective diagnostics and therapeutics1,2. As leaders spanning academia, industry and healthcare, we recognize the profound potential of artificial intelligence (AI) to surmount crucial obstacles in Alzheimer’s research.

Despite substantial advancements in our understanding of the pathophysiology of Alzheimer’s disease, pivotal bottlenecks remain. These include impediments in data sharing and harmonization, protracted timelines for biomedical discoveries and clinical trials3, and a disconnection between laboratory insights and their translation to clinical practice. AI offers a transformative opportunity to address these challenges, promising meaningful advancements for patients and their families4.

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Acknowledgements

This Correspondence is a summary and call to action from ‘The Leveraging AI to Accelerate Alzheimer’s Research Roundtable Discussion’ at The Clinical Trials in Alzheimer’s Disease (CTAD) meeting in Madrid on 31 October 2024.

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Authors and Affiliations

  1. IHU HealthAge, Toulouse, France

    Sandrine Andrieu

  2. Department of Neurology, Washington University, St. Louis, MO, USA

    Randall J. Bateman

  3. Division of Neurogeriatrics, Department of NVS, Karolinska Institutet, Stockholm, Sweden

    Erika Bereczki

  4. Alzheimer’s Disease Data Initiative, Kirkland, WA, USA

    Niranjan Bose

  5. University of Leicester, Leicester, UK

    Anthony J. Brookes

  6. Duke University School of Medicine, Durham, NC, USA

    P. Murali Doraiswamy & Jeffrey R. Petrella

  7. Division of Clinical Geriatrics, Department of NVS, Karolinska Institutet, Stockholm, Sweden

    Miia Kivipelto

  8. Alzheimer’s Research UK, Cambridge, UK

    Susan Kohlhaas

  9. SpeechDx, Alzheimer’s Drug Discovery Foundation, New York, NY, USA

    Lampros Kourtis

  10. AGE Research Unit, School of Public Health, Imperial College London, London, UK

    Lefkos T. Middleton

  11. Gates Ventures, Kirtland, WA, USA

    Gregory J. Moore

  12. Health Data Research UK, London, UK

    Neil Postlethwaite

  13. Eisai, Madrid, Spain

    Ricardo Sainz-Fuertes

Authors
  1. Sandrine Andrieu
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  2. Randall J. Bateman
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  3. Erika Bereczki
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  4. Niranjan Bose
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  5. Anthony J. Brookes
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  6. P. Murali Doraiswamy
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  7. Miia Kivipelto
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  8. Susan Kohlhaas
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  9. Lampros Kourtis
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  10. Lefkos T. Middleton
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  11. Gregory J. Moore
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  12. Jeffrey R. Petrella
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  13. Neil Postlethwaite
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  14. Ricardo Sainz-Fuertes
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Corresponding author

Correspondence to Gregory J. Moore.

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Competing interests

P.M.D. is supported by NIH 2RO1 AG052440 and U19AG024904, Cure Alzheimer’s Fund, Karen L Wrenn Trust, Gates Ventures, lululemon and Steve Aoki Foundation; has received advisory fees from and/or owns shares in several healthcare, biopharmaceutical and technology companies; is a co-inventor (through his university) on several patents; and serves on the board of directors of AHEL. G.J.M. receives advisory fees from Gates Ventures; and owns shares and/or serves as a director on the boards of several healthcare, biopharmaceutical, and technology companies. J.R.P. is funded by grants from NSF (DMS-2052676), NIH (P30AG072958, U01AG024904, NS134726) and Gates Ventures, and has served on the medical advisory boards for Cortechs.ai, Biogen and icometrix. The other authors declare no competing interests.

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Andrieu, S., Bateman, R.J., Bereczki, E. et al. Harnessing artificial intelligence to transform Alzheimer’s disease research. Nat Med 31, 1384–1385 (2025). https://doi.org/10.1038/s41591-025-03632-8

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  • DOI: https://doi.org/10.1038/s41591-025-03632-8

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