The process of neural stem cell (NSC) differentiation into neurons is crucial for the development of potential cell-centered treatments for central nervous system disorders. However, predicting, identifying, and anticipating this differentiation is complex. In this study, we propose the implementation of a convolutional neural network model for the predictable recognition of NSC fate, utilizing single-cell brightfield images.

To evaluate the changes of clinical and paraclinical characteristics in chronic obstructive pulmonary disease patients after treatment of umbilical cord-derived mesenchymal stem cells. Subjects and method: 21 stable COPD patients were enrolled with C and D groups in accordance with GOLD 2018.

Isolation, identification and culture successfully mesenchymal stem cell sample from rabbit bone marrow. Differentation mesenchymal stem cell towards the osteoblast and cryopreservation cell after differentiation.