Claims
| Claim | Type | Assessment | Score | Review checks | References |
|---|---|---|---|---|---|
| The AGENT framework used high-throughput experiments and Bayesian optimization to identify thermostable solid-state mRNA-lipid nanoparticle vaccine formulations in six iterations over one month. | OBSERVATIONAL | Supported | 0.8581 | 1 of 4 | 128 |
| An AI-guided Bayesian-optimization framework identified solid-state mRNA-lipid nanoparticle formulations that retained 100% bioactivity after more than two months at 37 °C, while inducing non-inferior antigen-specific responses in rodents and non-human primates versus fresh soluble vaccines. | QUANTITATIVE | Supported | 0.9938 | 1 of 4 | 206 |