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A team of scientists at King’s College London has developed an Artificial Intelligence model which analyses immune responses in the lymph nodes to predict the likelihood of developing secondary breast cancer for patients with triple negative breast cancer.  Lymph nodes are small bean-shaped structures that are part of the body’s immune system.  They filter substances that travel through the lymphatic fluid, and they contain lymphocytes or white blood cells that help the body fight infection and disease.  There are hundreds of lymph nodes found throughout the body and they are connected to one another by lymph vessels.  Clusters of lymph nodes are found in the neck, axilla (underarm), chest, abdomen, and groin and they are also known as lymph glands. This research which was published in “The Journal of Pathology”, was led by Dr Anita Grigoriadis at the School of Cancer and Pharmaceutical Studies.  The AI model was tested on over 5,000 lymph nodes donated to biobanks and there are plans to further test it at other European centres to further increase its precision.