Characterization and Machine Learning-Driven Property Prediction of a Novel Hybrid Hydrogel Bioink Considering Extrusion-Based 3D Bioprinting

Characterization and Machine Learning-Driven Property Prediction of a Novel Hybrid Hydrogel Bioink Considering Extrusion-Based 3D Bioprinting

The field of tissue engineering has made significant advancements with extrusion-based bioprinting, which uses shear forces to create intricate tissue structures. However, the success of this method heavily relies on the rheological properties of bioinks. Most bioinks use shear-thinning. While a few...

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Bibliographic Details
Main Authors: Rokeya Sarah, Kory Schimmelpfennig, Riley Rohauer, Christopher L. Lewis, Shah M. Limon, Ahasan Habib
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Gels
Subjects:
bioink viscosity
predictive modeling
extrusion-based bioprinting
machine learning
rheology
hydrogel composites
Online Access:https://www.mdpi.com/2310-2861/11/1/45
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