A model for predicting vaccine-related adverse events.

"A novel reactogenicity scoring framework accounting for the frequency and severity of local and systemic AEs was applied to the clinical data, and a machine learning approach was employed to predict the incidence of clinical AEs from the in vitro assay data. Biomarker analysis suggested that the relative levels of IL-1B, IL-6, IL-10, and CCL4 have higher predictive importance for AE risk."

https://journals.aai.org/jimmunol/article-abstract/doi/10.4049/jimmunol.2300185/266629/A-Predictive-Model-of-Vaccine-Reactogenicity-Using?redirectedFrom=fulltext