AI can analyze knowledge and automate processes, offering a variety of advantages for 3D bioprinting.
3D bioprinting is rising as a strong device for fabricating tissues and even complete organs for analysis, testing, and implantation. The power to additively deposit cells, hydrogels, and different biomaterials to create custom-made buildings can confer super benefits throughout analysis, however this leads to vital complexity as effectively.
Chen et al. mentioned functions of artificial intelligence (AI) in 3D bioprinting, outlining instruments and strategies to sort out the intricacies of the sphere and produce useful outcomes.
AI can analyze sophisticated knowledge, produce simply comprehensible outputs, and carry out advanced calculations that might in any other case be laborious and time-consuming. These traits will be employed to clear up many longstanding issues in 3D bioprinting.
“Frequent functions of AI in bioprinting embrace medical picture reconstruction, the place AI algorithms automate the segmentation and modeling of anatomical buildings; bioink choice, the place machine studying predicts optimum formulations for printability and biocompatibility; and real-time monitoring and adjustment of printing parameters, guaranteeing excessive constancy and performance of the printed buildings,” stated creator Jie Huang.
The authors hope their overview will encourage extra researchers to harness the potential of AI, unlocking new strategies and functions for bioprinting expertise to profit scientific understanding and scientific observe.
“Developments in automating the whole bioprinting course of, together with in situ printing, are promising,” stated Huang. “AI can automate these processes to obtain extra constant and exact outcomes, lowering human error and growing effectivity. In situ bioprinting, which includes printing tissues and buildings immediately inside the physique, has revolutionary potential for repairing and regenerating broken tissues in real-time throughout surgical procedures.”
Supply: “Current advances and functions of artificial intelligence in 3D bioprinting,” by Hongyi Chen, Bin Zhang, and Jie Huang, Biophysics Evaluations (2024). The article will be accessed at https://doi.org/10.1063/5.0190208 .