Women worldwide could see better treatment with new AI technology, which enables better detection of damaged cells and more precisely predicts the risk of getting breast cancer, shows new research from the University of Copenhagen. Breast cancer is one of the most common types of cancer. In 2022, the disease caused 670,000 deaths worldwide.
Now, a new study from the University of Copenhagen shows that AI can help women with improved treatment by scanning for irregular-looking cells to give better risk assessment. The study, published in The Lancet Digital Health , found that the AI technology was far better at predicting the risk of cancer than current clinical benchmarks for breast cancer risk assessment. The researchers used deep learning AI technology developed at the University of Copenhagen to analyze mammary tissue biopsies from donors to look for signs of damaged cells, an indicator of cancer risk.
"The algorithm is a great leap forward in our ability to identify these cells. Millions of biopsies are taken every year, and this technology can help us better identify risks and give women better treatment," says Associate Professor Morten Scheibye-Knudsen from the Department of Cellular and Molecular Medicine and senior author of the study. Predicts cases of five times the risk of breast cancer A core aspect of assessing cancer risk is looking for dying cells, caused by so-called cellular senescence.
Senescent cells are still metabolically active but have stopped dividing.
