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Optimization of extrusion-based bioprinting (EBB) parameters have been systematically conducted through experimentation. However. the process is time- and resource-intensive and not easily translatable to other laboratories. This study approaches EBB parameter optimization through machine learning (ML) models trained using data collected from the published literature. https://www.getpureroutine.com/

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