Rapid model-guided design of organ-scale synthetic vasculature for biomanufacturing

Area of Science:

• Biotechnology
• Bioengineering
• Regenerative Medicine

Background:

• Human-scale organ biomanufacturing is hindered by challenges in creating adequate vascular networks for perfusion.
• Designing and printing complex vasculature for organs remains a significant obstacle.

Purpose of the Study:

• To introduce a model-driven design platform for rapid generation of synthetic vascular models.
• To integrate computational fluid dynamics (CFD) simulations and 3D bioprinting for organ vascularization.

Main Methods:

• Developed algorithmic advances to accelerate synthetic vascular model generation by 230-fold.
• Applied the platform to generate organ-scale vascular networks for over 200 engineered and anatomic models.
• Utilized multifidelity CFD simulations for fluid physics analysis.

Main Results:

• Demonstrated rapid generation of vascular models applicable to arbitrarily complex geometries.
• Showcased successful computational vascularization of numerous organ models.
• Confirmed improved cell viability in biomanufactured living-tissue constructs due to synthetic vascular perfusion.

Conclusions:

• The developed platform enables rapid, scalable generation of vascular models for biomanufactured tissues.
• This technology addresses critical needs for future scale-up and production of biomanufactured organs.
• Facilitates the design and analysis of vascular networks essential for functional engineered tissues.