Analytical and AI Guided Design of Bioinks and 3D Bioprinted Scaffolds
Dimitria Bonizol Camasao,
Senior Application Scientist,
Rheolution
Formulating functional bioinks and optimizing 3D bioprinted scaffolds
often involve time-consuming and costly trial and error approaches. The
use of dedicated analytical testing instruments and artificial
intelligence (AI) algorithms may significantly accelerate these tasks.
In this presentation, we will first introduce the ElastoSensTM
Bio, a nondestructive testing instrument that measures the
viscoelasticity of soft biomaterials. We will highlight how its features
can bring value to the 3D and 4D bioprinting process, from the
formulation of bioinks to the design of bioprinted scaffolds and their
time evolution with or without cells. We will then focus on two
published cases to exemplify how this technology and AI are currently
helping researchers. In the first work developed by a team from
University of Victoria (BC), the ElastoSensTM Bio was used to
understand how the architecture of a scaffold produced through an
extrusion-based printing affected its viscoelastic properties in terms
of fiber size, porosity, pore shape, and bioink composition. In the
second work, the testing instrument was used to build and validate an AI
model able to predict the polymerization kinetics of a synthetic
photocrosslinkable hydrogel (PEGDA). These unique and novel
methodologies have the potential to accelerate research in tissue
engineering and regenerative medicine, and their translation into
clinical practices.
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