Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell +3 more
wiley +1 more source
Advances in 3D bioprinting for medical application: opportunities and challenges. [PDF]
Kazemi M, Maralbashi S.
europepmc +1 more source
Gravity-Tolerant In-Flight 3D Bioprinting Enabled by Stereolithography for Space Tissue Engineering. [PDF]
Lemke B +8 more
europepmc +1 more source
3D Bioprinting Functional Engineered Heart Tissues. [PDF]
Leung MC, Laksman Z.
europepmc +1 more source
Resolving the organ transplantation challenges by 3D bioprinting: A scoping review on case studies. [PDF]
Shinde P +5 more
europepmc +1 more source
A Formal Optimization-Oriented Design Framework for Predictive Extrusion-Based 3D Bioprinting. [PDF]
Kantaros A, Ganetsos T, Papoutsidakis M.
europepmc +1 more source
Bridging biology and technology: the rise of 3D bioprinting advancements in infection research. [PDF]
Mohammadi S +5 more
europepmc +1 more source
Advances in 3D Bioprinting and Microfluidics for Organ-on-a-Chip Platforms. [PDF]
de Barros NR +9 more
europepmc +1 more source
Modeling of Biomechanical and Functional Parameters of Hydrogel-Cell Composites Fabricated by 3D Bioprinting Using AI-Supported Approach. [PDF]
Rojek I +4 more
europepmc +1 more source
Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling. [PDF]
Mukherjee T +7 more
europepmc +1 more source

