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AI Tool ChromAgeNet Spots Aging Blood Stem Cells in Nuclear Images
Key Takeaways
- ChromAgeNet is an AI-based tool that detects aging-associated patterns in microscopy images of hematopoietic stem cells by analyzing the three-dimensional organization of chromatin.
- The study was led by Dr. Maria Carolina Florian of IDIBELL and Dr. Paula Petrone of BSC-CNS and ISGlobal, and formed a central part of Pablo Iañez's doctoral thesis.
- Training used 3D images of mouse hematopoietic stem cell nuclei stained with DAPI, with a convolutional neural network learning to distinguish young from aged cells.
- The model had a 77% probability of correctly classifying cells as young or aged, outperforming a machine learning model based on previously defined chromatin features.
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DT Editorial Team··via medicalxpress.com