Cercetătorii au dezvoltat un sistem de AI care recunoaşte semnele îmbătrânirii celulelor stem din sânge • Newsweek România

Researchers have developed an AI system called ChromAgeNet that detects aging signs in blood stem cells by analyzing microscopic images. This technology, tested on mouse cells, helps understand aging processes and identify substances that may enhance stem cell function as organisms age. The study, published in Aging Cell, reveals that the three-dimensional organization of chromatin contains information distinguishing young stem cells from aged ones. The AI model successfully classified about 68% of cells based on age, highlighting chromatin changes associated with aging. This method allows researchers to pinpoint biological modifications linked to age and could aid in testing rejuvenating substances.