{"slug": "ai-guided-optimization-for-thermostable-mrna-vaccines", "title": "AI-guided optimization for thermostable mRNA vaccines", "summary": "An AI-driven framework called AGENT, which combines high-throughput experimentation with Bayesian optimization, produced solid-state mRNA vaccine formulations that retained full bioactivity after 2 months of storage at 37 °C, according to a Nature Biotechnology summary of research by Tian et al. The formulations elicited immune responses non-inferior to fresh vaccines and enabled cold-chain-free delivery via microneedle patches in rodents and nonhuman primates. The work, published in Nature Biotechnology (doi:10.1038/s41587-026-03331-w), points to thermostable mRNA vaccines that do not require cold-chain storage.", "body_md": "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.\n\n                                    This is a preview of subscription content, [access via your institution](https://wayf.springernature.com?redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41587-026-03330-x)\n\n## Access options\n\nAccess Nature and 54 other Nature Portfolio journals\n\nGet Nature+, our best-value online-access subscription\n\n27,99 € / 30 days\n\ncancel any time\n\nSubscribe to this journal\n\nReceive 12 print issues and online access\n\n269,00 € per year\n\nonly 22,42 € per issue\n\nBuy this article\n\n- Purchase on SpringerLink\n- Instant access to the full article PDF.\n\n39,95 €\n\nPrices may be subject to local taxes which are calculated during checkout\n\n## References\n\n1. 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.**\n2. Vander Straeten, A. et al. A microneedle vaccine printer for thermostable COVID-19 mRNA vaccines. *Nat. Biotechnol.***42** , 510–517 (2024).**This paper reports COVID-19 mRNA delivery using microneedle patches.**\n3. Sakers, S. H. et al. Development of a microneedle patch for delivery of mRNA-lipid nanoparticles. *Drug Deliv. Transl. Res.***16** , 2256–2271 (2026).**This paper reports mRNA-loaded microneedle patches with a clinically relevant LNP composition** .\n4. Shahriari, B., Swersky, K., Wang, Z., Adams, R. P. & De Freitas, N. Taking the human out of the loop: a review of Bayesian optimization. *Proc. IEEE***104** , 148–175 (2015).**A review article that presents Bayesian optimization.**\n\n## Additional information\n\n**Publisher’s note** Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.\n\n**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).\n\n## Rights and permissions\n\n## About this article\n\n### Cite this article\n\n AI-guided optimization for thermostable mRNA vaccines.\n                    *Nat Biotechnol*  (2026). https://doi.org/10.1038/s41587-026-03330-x\n\n- Published:\n- Version of record:\n- DOI: https://doi.org/10.1038/s41587-026-03330-x", "url": "https://wpnews.pro/news/ai-guided-optimization-for-thermostable-mrna-vaccines", "canonical_source": "https://www.nature.com/articles/s41587-026-03330-x", "published_at": "2026-09-28 16:07:08+00:00", "updated_at": "2026-09-28 16:20:43.852404+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "ai-research", "ai-products"], "entities": ["AGENT", "Nature Biotechnology", "Tian", "Springer Nature"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/ai-guided-optimization-for-thermostable-mrna-vaccines", "markdown": "https://wpnews.pro/news/ai-guided-optimization-for-thermostable-mrna-vaccines.md", "text": "https://wpnews.pro/news/ai-guided-optimization-for-thermostable-mrna-vaccines.txt", "jsonld": "https://wpnews.pro/news/ai-guided-optimization-for-thermostable-mrna-vaccines.jsonld"}}