Artificial Intelligence May Better Predict Response in Breast Cancer Treatment

October 07, 2015Share this article: Researchers are working on a way to use artificial intelligence to predict a patient’s response to two common chemotherapy drugs used to treat breast cancer: paclitaxel and gemcitabine. Their study was published in Molecular Oncology (2015; doi:10.1016/j.molonc.2015.07.006). The research team, led by Peter Rogan, PhD, at the University of Western Ontario in London, Ontario, Canada, is hoping this technique will remove the guesswork in determining optimal breast cancer treatment. Patients with the same type of cancer can have different responses to the same drug. Some patients respond well and go into remission, whereas others develop resistance to the drug. Identifying the genetic factors that lead to remission or resistance can lead to better individualized, targeted treatment regimens with better patient outcomes. The researchers began their…


Link to Full Article: Artificial Intelligence May Better Predict Response in Breast Cancer Treatment