ChromAgeNet AI detects stem cell aging from 3D DNA architecture

Researchers at IDIBELL and BSC-CNS built ChromAgeNet, an AI tool that distinguishes young from aged mouse blood stem cells in 3D nuclear images with 77% accuracy. The model also assessed how epigenetic drugs shift chromatin organization toward a younger-like pattern.

• ChromAgeNet distinguishes young from aged cells with 77% probability
• The model analyzes 3D images of DAPI-stained cell nuclei
• Key features include chromatin entropy and heterochromatin near the nuclear edge
• The tool and a 3D stem cell image dataset are open to researchers