The development of tissue engineering products faces challenges due to the variety of biomaterials available and their dynamic properties once implanted. A recent study used artificial intelligence (AI) to help address this problem. The researchers created a system that automates the prediction of gelation time (when a liquid solution becomes a hydrogel) for different formulations. The hydrogels were composed of silk, horseradish peroxidase (HRP), hydrogen peroxide, and bacterial cells. They utilized differential dynamic microscopy (DDM) to identify gelation time and machine learning (ML) to predict the gelation time of different hydrogel compositions. This allowed them to streamline the process of finding hydrogel formulations with specific properties.