New Artificial Intelligence Tool Identifies Signs of Aging in Stem Cells
A new artificial intelligence tool called ChromAgeNet successfully detects aging patterns in blood-forming stem cells by examining the three-dimensional structure of chromatin.
Researchers have developed an artificial intelligence-based tool named ChromAgeNet that detects aging-related patterns in hematopoietic stem cells by analyzing the three-dimensional organization of chromatin.
Stem Cell Aging and Blood Production
The aging process gradually affects the body's functioning and weakens the hematopoietic system's capacity to produce sufficient blood cells over time.
Development of the ChromAgeNet Tool
Researchers from IDIBELL, ICREA, BSC-CNS, and ISGlobal have introduced ChromAgeNet, an artificial intelligence-based tool that examines the three-dimensional structure of chromatin.
This study formed the basis of Pablo Iañez's doctoral thesis and was published in the journal Aging Cell.
Cell Differentiation via Artificial Intelligence
Using three-dimensional images of mouse hematopoietic stem cell nuclei, a convolutional neural network successfully managed to distinguish between young and old cells.
Detection of Fine Details and Future Potential
The tool is capable of detecting subtle spatial features such as chromatin entropy and peripheral heterochromatin that are invisible to the naked eye.
It also offers a screening method to evaluate whether epigenetic drugs can reverse aging characteristics to a youthful state.