AI Detects Signs of Aging in Blood Stem Cells From Nuclear Images
The model distinguished young from aged mouse stem cells with 77% accuracy and could help screen compounds for age-related chromatin changes.
- Researchers from the Bellvitge Biomedical Research Institute and Barcelona Supercomputing Center developed ChromAgeNet, an artificial intelligence tool that analyzes microscopy images of hematopoietic stem cells to distinguish young from aged cells.
- Using DAPI, a simple staining technique, ChromAgeNet detects subtle chromatin patterns invisible to the naked eye, allowing the model to analyze nuclear organization without requiring researchers to predefine which features matter.
- Based on chromatin appearance, ChromAgeNet demonstrated a 77% probability of correctly distinguishing between young and aged cell groups, extracting information from the physical DNA-protein complex rather than relying on molecular biomarkers like DNA methylation.
- Researchers applied ChromAgeNet to aged HSCs exposed to various treatments, finding that several compounds shifted the cells' AI-derived "youthful scores" toward those observed in younger samples, particularly chromatin-modifying drugs.
- The team stresses that direct functional validation and independent measurements of biological age are required before ChromAgeNet scores can be interpreted as genuine rejuvenation, with Human translation requiring model adaptation across experimental settings.
12 Articles
12 Articles
New artificial intelligence tool identifies aging patterns in hematopoietic stem cells
Aging progressively affects the functioning of our body and, among other things, deteriorates the ability of the hematopoietic system- the set of organs and tissues responsible for producing blood cells- to maintain adequate blood cell production.
A pioneering study led by Barcelona has identified patterns associated with aging.
It focuses on the three-dimensional organization of the nucleus of the cell
Barcelona, Sep 28 (EFE).- A scientific team has developed ‘ChromAgeNet’, an artificial intelligence tool capable of detecting aging in blood stem cells by analyzing the three-dimensional structure of DNA in the nucleus and that can accelerate the search for drugs to rejuvenate the immune system. Published in the scientific journal Aging [...] La entrada They detect cellular aging through an AI that analyzes the 3D structure of DNA was first publ…
AI detects signs of aging in blood stem cells from nuclear images
Aging progressively affects how our bodies function. Among other effects, it reduces the ability of the hematopoietic system—the organs and tissues responsible for producing blood cells—to maintain adequate blood cell production. Understanding and measuring this process is especially important for studying how blood stem cells age and identifying ways to preserve or restore their function.
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