28-Sep-2020 | Market Research Store
Artificial Intelligence is now believed to have found its way into speeding the healing of injuries by advancing the 3D-printed bioscaffolds. According to Rice University researchers, the researchers used the machine learning technique to better understand the quality of scaffold materials using specific printing parameters. With this new approach, it was found that controlling the print speed is difficult when it comes to printing high-quality implants. The bioscaffolds are bonelike edifices that usually serve the purpose of placeholders in case of injured tissues. Furthermore, as these edifices are porous they permit the growth of cells and blood vessels for further development into new tissue and later substitute the implant.
The Rice University researchers in collaboration with the Center for Engineering Complex Tissues basically are looking forward to develop methods to heal musculoskeletal and craniofacial wounds. For making this approach progressive, the advanced 3D printing technique has been introduced to develop a biocompatible implant that can fit any sizes of wounds. Adding in machine learning techniques, advancing processes, and designing materials will help improve the development of implants that will be faster and error free. Additionally, the print speed was found to be the most important of the rest that includes pressure, material composition, layering, and spacing for improving printing quality.
In the latest study, the researchers used biodegradable poly(propylene fumarate) to print scaffolds using computer models. They also used two modeling approaches (classification method and regression-based approach) that rely on accurate values of print-quality metrics for better results. Both of these approaches depend on classical supervised learning technique named random forest that helps develop numerous decision trees and fuses them to build a stable and precise prediction. This approach will help print a tailored jawbone, kneecap or bit of cartilage as required. The understanding of which material will give better scaffolds for discovering new things is the new goal that researchers have achieved through artificial intelligence.
Market Research Store has published a report on global 3D cell culture scaffold market. The report primarily focuses on the detailed historical analysis, market valuation, and extensive market forecasts
https://www.marketresearchstore.com/report/global-3d-cell-culture-scaffold-market-report-2019-429525