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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

Josh Universe
Biohackers Media
Published in
3 min readJan 25, 2025

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Three-dimensional culture of human breast cancer cells, with DNA stained blue and a protein in the cell surface membrane stained green. Credit: NCI Center for Cancer Research, National Cancer Institute, National Institutes of Health

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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.

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Biohackers Media
Biohackers Media

Published in Biohackers Media

Biohackers Media is an independent and open source for longevity science & industry news & information by the International Biohacking Community.

Josh Universe
Josh Universe

Written by Josh Universe

Founder - International Biohacking Community, Transhumanist Council. Scientist-Astronaut Candidate. Writes about Space, Astronomy, Futurology, Longevity.

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