This deep learning has been applied for the first time to detect senescent MSCs, showing promising performance in both chronic and acute MSC senescence. The system can be a labor-saving and cost-effective option for screening MSC culture conditions and anti-aging drugs, as well as providing a powerful tool for non-invasive and real-time morphological image analysis integrated into cell production.
Keyphrases
- deep learning
- mesenchymal stem cells
- dna damage
- cell therapy
- endothelial cells
- drug induced
- umbilical cord
- artificial intelligence
- convolutional neural network
- liver failure
- stress induced
- single cell
- machine learning
- bone marrow
- respiratory failure
- high resolution
- loop mediated isothermal amplification
- aortic dissection
- stem cells
- intensive care unit
- oxidative stress
- mass spectrometry
- hepatitis b virus
- extracorporeal membrane oxygenation