Nanoclay Bioink, Machine Learning, Hydrogel Design Strategies for 3D Bioprinting

Category: Blog,From Academia

Sep 23, 2020

In this issue of “From Academia”, we share three papers focusing on nanoclay bioink, machine learning algorithms, design strategies for 3D bioprinting of various applications. The first article investigates the bioprinting of human bone marrow stromal cells (HBMSCs), demonstrating its viability to support tissue formation in vivo compared to acellular and cast scaffolds. The second article presents a perspective article on the utilization of machine learning (ML) to optimize the bioprinting process. The third article presents a review on the advancements of the bioprinting process as well as the design and development of biomaterials for bioinks and its application towards tissue engineering, regenerative medicine, cancer research, in vitro disease modeling, high-throughput drug screening, surgical preparation, soft robotics and flexible wearable electronics.

“From Academia” features recent, relevant, close to commercialization academic publications. Subjects include but not limited to healthcare 3D printing, 3D bioprinting, and related emerging technologies.

Email: Rance Tino (info@3dheals.com) if you want to share relevant academic publications with us.

Nanoclay-based 3D printed scaffolds promote vascular ingrowth ex vivo and generate bone mineral tissue in vitro and in vivo

Authored by Gianluca Cidonio, Michael Glinka, Yang-Hee Kim, Janos M Kanczler, Stuart A Lanham, Tilman Ahlfeld, Anja Lode, Jonathan I Dawson, Michael Gelinsky and Richard O C Oreffo. Biofabrication, 11 May 2020