Researchers at Rice University have identified printing speed as the most important metric in the development of 3-D-printed bio scaffolds that help injuries heal. The study shows that artificial intelligence can greatly improve techniques in developing bio scaffolds, the bonelike structures that serve as placeholders for injured tissue, and in the healing of craniofacial and musculoskeletal wounds. With the help of machine learning techniques, designing materials, and developing processes in creating implants can be faster and eliminate much trial and error. The study led by computer scientist Lydia Kavraki of Rice’s Brown School of Engineering has successfully shown that guided AI and controlled printing speed is critical in making high-quality implants.
Source: https://techxplore.com/news/2020-09-machine-bioscaffold.html
