Unlocking human immune system complexity through AI

Eloise Berson^{1

2

3}, Philip Chung⁴, Camilo Espinosa^{4

5}, Thomas J Montine⁶, Nima Aghaeepour^{4

5

7}

Affiliations

¹ Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA, USA. eloiseb@stanford.edu.
² Department of Pathology, Stanford University, Stanford, CA, USA. eloiseb@stanford.edu.
³ Department of Biomedical Data Science, Stanford University, Stanford, CA, USA. eloiseb@stanford.edu.
⁴ Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA, USA.
⁵ Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
⁶ Department of Pathology, Stanford University, Stanford, CA, USA.
⁷ Department of Pediatrics - Neonatal and Developmental Medicine, Stanford University, Stanford, CA, USA.

PMID: 39122943
PMCID: PMC12074532
DOI: 10.1038/s41592-024-02351-1

Unlocking human immune system complexity through AI

Eloise Berson et al. Nat Methods. 2024 Aug.

. 2024 Aug;21(8):1400-1402.

doi: 10.1038/s41592-024-02351-1.

Authors

Eloise Berson^{1

2

3}, Philip Chung⁴, Camilo Espinosa^{4

5}, Thomas J Montine⁶, Nima Aghaeepour^{4

5

7}

Affiliations

¹ Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA, USA. eloiseb@stanford.edu.
² Department of Pathology, Stanford University, Stanford, CA, USA. eloiseb@stanford.edu.
³ Department of Biomedical Data Science, Stanford University, Stanford, CA, USA. eloiseb@stanford.edu.
⁴ Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA, USA.
⁵ Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
⁶ Department of Pathology, Stanford University, Stanford, CA, USA.
⁷ Department of Pediatrics - Neonatal and Developmental Medicine, Stanford University, Stanford, CA, USA.

PMID: 39122943
PMCID: PMC12074532
DOI: 10.1038/s41592-024-02351-1

Abstract

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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Conflict of interest statement

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.

Figures

**Fig. 1:. Timeline of advances in AI and immunology research.**
Advances in AI have propelled progress in immunology, improving the modeling and analysis of the human immune system and accelerating the translational application of immunological discoveries.

See this image and copyright information in PMC

References

1. Bennett NR et al. Preprint at bioRxiv 10.1101/2024.03.14.585103 (2024). - DOI
1. Vanguri RS et al. Nat. Cancer 3, 1151–1164 (2022). - PMC - PubMed
1. Steyaert S et al. Nat. Mach. Intell 5, 351–362 (2023). - PMC - PubMed
1. Brown T et al. Adv. Neural Inf. Process. Syst 33, 1877–1901 (2020).
1. Christensen M, Vukadinovic M, Yuan N & Ouyang D Nat. Med 30, 1481–1488 (2024). - PMC - PubMed

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Unlocking human immune system complexity through AI

Affiliations

Unlocking human immune system complexity through AI

Authors

Affiliations

Abstract

Conflict of interest statement

Figures

References

MeSH terms

Grants and funding

LinkOut - more resources

Full Text Sources

Medical