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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.

Aaliyah Thomas

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