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.
Melissa Ford’s book brought to life through stage adaptation
A Slippery Rock University history faculty member’s work has inspired a creative new production in her home state of Missouri. A 2022 book…