Researchers from King Saud University, featured in Nature Scientific Reports (2025), demonstrate a hybrid ML method—ADA-GPR—for predicting recombinant protein solubility in E. coli strains. By combining decision tree, Gaussian process regression, and KNN in an AdaBoost framework, the study achieves an R2 of 0.995, suggesting significant potential for optimizing bioprocess workflows and reducing experimental costs.