Open access
Oct 2026
Data-Driven Identification of GelMA Hydrogel Formulations with Bioink-Relevant Properties Using Design of Experiments (DoE) and Machine Learning (ML)
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-experiments (DoE) and machine-learning-guided work...
T. Pham, Le Thao Vy Huynh, Gia Huy Duong et al.
· ACS Omega · 0 citations