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Automated Robotic Dispensing Technique for Surface Guidance and Bioprinting of Cells
Published on: November 18, 2016
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Self-driving bioprinting laboratories
Suihong Liu1,2, Navneet Kaur1,2, Dae-Hyeon Song1,2
1The Huck Institutes of Life Sciences, Penn State University, University Park, State College, PA 16802, United States of America.
Biofabrication
|January 9, 2026
Summary
Self-driving bioprinting laboratories leverage artificial intelligence (AI) and robotics for autonomous tissue engineering (TE) and regenerative medicine (RM). These integrated systems aim to standardize scalable tissue manufacturing, moving innovations from the lab to clinical application.
Area of Science:
- Regenerative Medicine
- Tissue Engineering
- Bioprinting
Background:
- Severe donor organ shortages and inadequate disease models necessitate advanced strategies in regenerative medicine (RM) and tissue engineering (TE).
- Current bioprinting workflows are labor-intensive, variable, and difficult to scale, hindering clinical translation.
- The integration of multiple advanced technologies is crucial for overcoming these limitations.
Purpose of the Study:
- To outline the concept and foundational technologies for self-driving bioprinting laboratories.
- To explore the opportunities and challenges in developing autonomous, closed-loop systems for tissue fabrication.
- To envision the future impact of intelligent automation on the fields of TE and RM.
Main Methods:
- Integration of artificial intelligence (AI), robotics, biosensing, and advanced biological methods.
- Development of a fully integrated, autonomous, closed-loop system for designing, fabricating, maturing, and assessing tissue constructs.
- Incorporation of autonomous cellular farming, on-demand bioink formulation, intelligent reconstruction, AI-driven bioprinting, intelligent bioreactors, and robotic transplantation.
Main Results:
- Envisioned platforms enable continuous learning, adaptation, and workflow optimization.
- These systems facilitate standardized, scalable tissue manufacturing with minimal human intervention.
- The proposed approach supports seamless transition from laboratory research to clinical application and transplantation.
Conclusions:
- Self-driving bioprinting laboratories represent a transformative approach to tissue engineering and regenerative medicine.
- Intelligent automation promises to make TE and RM scalable, predictive, and clinically integrated disciplines.
- This paradigm shift is essential for advancing precision medicine and addressing critical healthcare needs.
