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Breakthrough AI technology analyzes senescent “zombie cells” in breast tissue, outperforming traditional models in predicting cancer risk and paving the way for personalized screening and treatment strategies.
AI Enhances Prediction of Breast Cancer Risk via ‘Zombie Cells’
Revolutionizing Breast Cancer Risk Assessment with Artificial Intelligence
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Researchers at the University of Copenhagen have developed an AI technology that can improve the detection of senescent cells (also known as “zombie cells”) in breast tissue, offering a better assessment of breast cancer risk than current clinical models. This development could potentially enhance the treatment and prognosis for women worldwide.
Published in The Lancet Digital Health, the study demonstrates that AI outperforms the traditional Gail model, the current breast cancer risk assessment standard, in predicting cancer development.