Nguyen Thien Han Le

Data-Driven Identification of GelMA Hydrogel Formulations with Bioink-Relevant Properties Using Design of Experiments (DoE) and Machine Learning (ML)

Abstract Gelatin methacryloyl (GelMA) hydrogels are promising bioink candidates for extrusion-based 3D bioprinting, but their synthesis and formulation conditions must be optimized to achieve suitable gelation, printability, and mechanical stability. In our study, a design-of-exp...