Brief

Researchers have developed an AI-assisted workflow to discover effective cryomicroneedle formulations for delivering living cells. This closed-loop system combines literature analysis, Gaussian-process modeling, and Bayesian optimization, iteratively refining predictions with wet-lab validation. After 106 wet-lab observations, the system significantly improved its accuracy, achieving a high correlation between predicted and measured outcomes and identifying a formulation with over 95% cell viability. The project demonstrates how AI can accelerate formulation discovery for labs with limited data expertise. AI