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Unlocking human immune system complexity through AI

Nature Methods volume 21, pages 1400–1402 (2024)Cite this article

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Advancements in artificial intelligence (AI) have led to unprecedented success in modeling technically challenging domains including language, audio, image and video understanding. Here we discuss the opportunities represented by recent AI methods to advance immunology research.

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Fig. 1: Timeline of advances in AI and immunology research.

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Acknowledgements

This work was supported by the NIH (R35GM138353, RF1AG07744, RF1 AG077443, 5T32GM089626), Burroughs Wellcome Fund (1019816), March of Dimes, Robertson Foundation, Alfred E. Mann Foundation, Bill and Melinda Gates Foundation (INV-037517), Wu Tsai Neurosciences Institute Knight Initiative for Brain Resilience and Stanford University Research in Anesthesia Training Program (ReAP).

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Author notes

  1. These authors jointly supervised this work: Thomas J. Montine, Nima Aghaeepour.

Authors and Affiliations

  1. Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA, USA

    Eloise Berson, Philip Chung, Camilo Espinosa & Nima Aghaeepour

  2. Department of Pathology, Stanford University, Stanford, CA, USA

    Eloise Berson & Thomas J. Montine

  3. Department of Biomedical Data Science, Stanford University, Stanford, CA, USA

    Eloise Berson, Camilo Espinosa & Nima Aghaeepour

  4. Department of Pediatrics – Neonatal and Developmental Medicine, Stanford University, Stanford, CA, USA

    Nima Aghaeepour

Authors
  1. Eloise Berson
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  2. Philip Chung
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  3. Camilo Espinosa
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  4. Thomas J. Montine
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  5. Nima Aghaeepour
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Contributions

E.B., T.J.M. and N.A co-wrote the manuscript. E.B composed the figure. P.C and E.C comprehensively reviewed and edited the manuscript.

Corresponding author

Correspondence to Eloise Berson.

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Competing interests

N.A. is a cofounder of Takeoff AI, a member of the scientific advisory boards of January AI, Parallel Bio, Celine Therapeutics, and WellSim Biomedical Technologies, and a paid consultant for MaraBio Systems.

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Berson, E., Chung, P., Espinosa, C. et al. Unlocking human immune system complexity through AI. Nat Methods 21, 1400–1402 (2024). https://doi.org/10.1038/s41592-024-02351-1

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