In a recent 2025 study published in Nature, researchers led by S. Tasqeeruddin presented a robust model combining computational simulation and machine learning for drug sorption analysis. The team integrated algorithms like Kernel Ridge Regression and nu-SVR with Fruit-Fly Optimization, achieving impressive accuracy in predicting drug concentration distributions. This approach provides actionable insights for improving adsorption separation processes in biomedical research.