Structure meets function: Glycocalyx analyzed at the molecular level for the first time
Peer-Reviewed Publication
Updates every hour. Last Updated: 14-Oct-2025 16:13 ET (14-Oct-2025 20:13 GMT/UTC)
Hematopoietic stem cells (HSCs), which give rise to all blood cell types, are essential for regenerative medicine and gene therapy. However, predicting their long-term quality remains a challenge. Now, researchers from Japan have developed a novel system combining live-cell imaging and machine learning to predict HSC quality based on real-time behavior. This approach reveals hidden cellular diversity and enables accurate prediction of cell stemness and quality, advancing basic biology and offering promise for clinical applications.