Combining bioprinting and AI could aid in diagnostics and replace animal models
In the process of organoid manufacturing, bioprinting technology can not only facilitate the creation and maintenance of complex biological 3D shapes and structures, but also allow for standardization and quality control during production. And the addition of artificial intelligence (AI), which can validate the product potential in the manufacturing process, allows to provide a more standardized source of cells for the organoid in terms of viability, function, etc. In other words, bioprinting combined with artificial intelligence is expected to perform real-time diagnostics of organoids and ultimately obtain high-quality homogenized in vitro models.
Professor Hyungseok Lee, from the Department of Mechanical and Biomedical Engineering at Kangwon National University, presented his views on the future development of organoid manufacturing in Cyborg and Bionic Systems.
Organoids with the ability to self-organize and assemble have a wide range of research and application prospects. Besides the most basic simulation of human organ development that cannot be studied in animal models, organoids can also replicate human pathology instead of animals to complete the research. In addition, because of the convenient customization of cell sources, organoids could also be used as "stand-ins" for clinical patients to personally predict the best therapeutic agents.
However, such a widely used organoid is facing the difficulty of standardizing its production. Due to differences in experimenter, culture conditions, and cellular conditions, the organoid, while enabling disease modeling, cannot exhibit strictly consistent properties for application in the screening of new drugs, especially in the process of quantification. In addition, keeping all nutrients, growth factors, and metabolites in constant equilibrium is a technical challenge during organoid growth, which can also cause discrepancies with the actual target tissue.
Bioprinting, especially extrusion bioprinting, enables standardized manufacturing of organoid components with complex cellular composition and structure, controlling quality, and minimizing human intervention. Moreover, bioprinting technology could also facilitate the automation of manufacturing processes. High resolution is critical for bioprinting organoids, which is expected to realize the fabrication of vascularized organoids with perfusion networks and overcome the limitation of passive transport of substances.
Artificial intelligence is currently gaining attention for its ability to monitor and control the quality of the final object being exploited. The bioprinting process the AI incorporates to create organoids monitors cell status and printed structures in real time, providing feedback for fine printing to ensure resolution. The future direction of this kind of organ manufacturing prospects for the modeling of complex diseases and the combinatorial testing of new drugs.
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