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.
Sabor y Ritmo: Flavor and Rhythm
As part of the University's Hispanic Heritage Month celebration, join the SRU community for live music, salsa dance lessons and a food truck. Come for the flavor, stay for the […]
