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October 1, 2025Open Access

AI-Guided Bayesian Optimization for Predicting Bioink Viscosity in 3D Bioprinting

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The AI-guided model predicts bioink viscosity with errors of 10% or less, significantly reducing experimental workloads.
Using a data-efficient approach, the model optimizes bioink formulations, enhancing printability and biocompatibility.
Bayesian optimization refines parameter interactions, enabling effective exploration of feasible parameter spaces.
This innovative method streamlines bioink formulation, advancing the field of tissue engineering and accelerating biofabrication.

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Machine learning framework predicts bioink viscosity in diverse compositions, highlighting improved efficiency in tissue engineering.

Xu et al. (2025) studied this question.

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