# AI-guided optimization for thermostable mRNA vaccines

> Source: <https://www.nature.com/articles/s41587-026-03330-x>
> Published: 2026-09-28 16:07:08+00:00

AGENT, an AI-driven framework integrating high-throughput experimentation with Bayesian optimization, enables the rapid engineering of thermostable, solid-state mRNA vaccines. These formulations retained full bioactivity after storage at 37 °C for 2 months, elicited immune responses non-inferior to fresh vaccines, and enabled cold-chain-free delivery via microneedle patches in rodents and nonhuman primates.

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## References

1. Scott, G. Y. et al. Enhancing vaccine quality and accessibility: strategies for efficient storage and distribution in resource-constrained environment. *Outbreak Manag. Response***1** , 2443439 (2025).**A review article that presents vaccine accessibility.**
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**This is a summary of:** Tian, J. et al. Accelerated discovery of thermostable mRNA–lipid nanoparticle vaccines using data-efficient AI. *Nat. Biotechnol*. [https://doi.org/10.1038/s41587-026-03331-w](https://doi.org/10.1038/s41587-026-03331-w) (2026).

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 AI-guided optimization for thermostable mRNA vaccines.
                    *Nat Biotechnol*  (2026). https://doi.org/10.1038/s41587-026-03330-x

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- DOI: https://doi.org/10.1038/s41587-026-03330-x