Limon’s 3D bioprinting research presented at conferences

Sept. 10, 2024

Shah Limon, a Slippery Rock University assistant professor of physics and engineering, recently co-wrote two articles that were published and presented in a pair of conference proceedings.

Limon’s first co-authored article, titled “Towards Personalized 3D Bioprinting: Leveraging Cluster-based Machine Learning for Mass Customization,” was presented at the Institute of Industrial and Systems Engineering conference in Montreal, Canada. The research explains how 3D bioprinting customizes scaffolds for medical use and describes how machine learning can help optimize both their mechanical properties and microenvironments.

Limon’s second co-authored article, titled “Viscosity Inference of Hybrid Bioink Using Decision Tree-Based Machine Learning Method,” was presented at the Manufacturing Science and Engineering Conference at the University of Tennessee. The research explains how extrusion-based 3D bioprinting requires precise hydrogel viscosity control and demonstrates how decision tree-based machine learning can optimize this process, improving accuracy and efficiency.