AI Medical Compendium Journal:
Biofabrication

Showing 1 to 10 of 10 articles

Advancing regenerative medicine: the Aceman system's pioneering automation and machine learning in mesenchymal stem cell biofabrication.

Biofabrication
Mesenchymal stem cells (MSCs) are pivotal in advancing regenerative medicine; however, the large-scale production of MSCs for clinical applications faces significant challenges related to efficiency, cost, and quality assurance. We introduce the Auto...

AI for biofabrication.

Biofabrication
Biofabrication is an advanced technology that holds great promise for constructing highly biomimeticthree-dimensional human organs. Such technology would help address the issues of immune rejection and organ donor shortage in organ transplantation, a...

Constraint based Bayesian optimization of bioink precursor: a machine learning framework.

Biofabrication
Current research practice for optimizing bioink involves exhaustive experimentation with multi-material composition for determining the printability, shape fidelity and biocompatibility. Predicting bioink properties can be beneficial to the research ...

A practical machine learning approach for predicting the quality of 3D (bio)printed scaffolds.

Biofabrication
3D (Bio)printing is a highly effective method for fabricating tissue engineering scaffolds, renowned for their exceptional precision and control. Artificial intelligence (AI) has become a crucial technology in this field, capable of learning and repl...

Advances in volumetric bioprinting.

Biofabrication
The three-dimensional (3D) bioprinting technologies are suitable for biomedical applications owing to their ability to manufacture complex and high-precision tissue constructs. However, the slow printing speed of current layer-by-layer (bio)printing ...

Soft pneumatic actuators for mimicking multi-axial femoropopliteal artery mechanobiology.

Biofabrication
Tissue biomanufacturing aims to produce lab-grown stem cell grafts and biomimetic drug testing platforms but remains limited in its ability to recapitulate native tissue mechanics. The emerging field of soft robotics aims to emulate dynamic physiolog...

Adaptive biohybrid pumping machine with flow loop feedback.

Biofabrication
Tissue-engineered living machines is an emerging discipline that employs complex interactions between living cells and engineered scaffolds to self-assemble biohybrid systems for diverse scientific research and technological applications. Here, we re...

Compensating the cell-induced light scattering effect in light-based bioprinting using deep learning.

Biofabrication
Digital light processing (DLP)-based three-dimensional (3D) printing technology has the advantages of speed and precision comparing with other 3D printing technologies like extrusion-based 3D printing. Therefore, it is a promising biomaterial fabrica...

Stereotactic technology for 3D bioprinting: from the perspective of robot mechanism.

Biofabrication
Three-dimensional (3D) bioprinting has been widely applied in the field of biomedical engineering because of its rapidly individualized fabrication and precisely geometric designability. The emerging demand for bioprinted tissues/organs with bio-insp...

Machine learning-based design strategy for 3D printable bioink: elastic modulus and yield stress determine printability.

Biofabrication
Although three-dimensional (3D) bioprinting technology is rapidly developing, the design strategies for biocompatible 3D-printable bioinks remain a challenge. In this study, we developed a machine learning-based method to design 3D-printable bioink u...