Related Experiment Video
Updated: Jan 14, 2026

Human Mesenchymal Stem Cell Processing for Clinical Applications Using a Closed Semi-Automated Workflow
Published on: March 17, 2023
Development of Stem Cell Data Systems and Associated Data Standards for Cell Therapy
Yong Zhang1,2,3,4,5, Andreas Kurtz5,6, Hongling Zhao1,4
1Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China.
Abstract:
As cell-based therapies near widespread clinical use, robust data management systems are crucial for ensuring safety, efficacy, and regulatory compliance. This chapter reviews the ISO 8472 series, which focuses on data interoperability for stem cell applications, and highlights the complexities of managing clinical, manufacturing, and quality control data. It underscores the need for standardized frameworks to streamline data sharing, analysis, and validation. Additionally, emerging technologies like AI and blockchain are explored for their potential to revolutionize data management, enhance security, and improve automation. Furthermore, this chapter addresses challenges in implementing data standards in cell therapy manufacturing and ensuring transparency. It outlines strategies to foster collaboration among stakeholders, including regulatory bodies, biobanks, CROs, and manufacturers, to drive innovation and scalability. Establishing comprehensive standards and interoperable data systems is essential for building trust and facilitating the commercialization of stem cell therapies.
Related Concept Videos
Stem Cell Therapy for Tissue Regeneration
Types of Stem Cells used in Stem Cell Therapy
The two main cell...
Stem Cell Culture
Cell Lines
Embryonic Stem Cells
ES cells are grown in a culture medium where they can divide indefinitely, creating ES cell lines. Under certain conditions, ES cells can differentiate, either spontaneously into a variety of...
Embryonic Stem Cells
iPS Cell Differentiation

