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.
Master of Public Health program earns accreditation
Slippery Rock University’s Master of Public Health program has been accredited by the Council on Education for Public Health for a five-year…