Machine Learning-Guided Three-Dimensional Printing of Tissue Engineering Scaffolds.

ABSTRACT: Various material compositions have been successfully used in 3D printing with promising applications as scaffolds in tissue engineering. However, identifying suitable printing conditions for new materials requires extensive experimentation in a time and resource-demanding process. This study investigates the use of Machine Learning (ML) for distinguishing between printing configurations that are likely to result in low-quality prints and printing configurations that are more promising as a first step toward the development of a recommendation system for identifying suitable printing conditions. The ML-based framework takes as input the printing conditions regarding the material composition and the printing parameters and predicts the quality of the resulting print as either "low" or "high.

SUBMITTER: Conev A 

PROVIDER: S-EPMC7759288 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature