Shah Limon, a Slippery Rock University assistant professor of physics and engineering, recently co-authored a research article that was published in the Gel Journal titled “Characterization and Machine Learning-Driven Property Prediction of a Novel Hybrid Hydrogel Bioink Considering Extrusion-Based 3D Bioprinting.” The article explores machine learning-based predictive modeling for novel bioink to improve tissue engineering applications.
SRU faculty awarded CareQuest grant to advance integrated medical and dental care research
Driven by a culture of collaborative, forward-thinking faculty, Slippery Rock University continues to advance impactful, interdisciplinary…