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.
Sajad Hamidi conducting federally funded research about greenhouse gas emissions
A Slippery Rock University faculty member is a visiting researcher this summer working with leading scientists at the Oak Ridge National…
