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Georgia Tech/Emory University biomedical engineering associate professor Manu Platt (standing) and graduate student Keon-Young Park examine gels that display the activity levels of cathepsins, which are protein-degrading enzymes. In a new study, the researchers are studying levels of cathepsins and other signaling chemicals in an effort to predict the invasiveness of breast cancer in individual patients. (Credit: Gary Meek, Georgia Tech)
Predictive Model Could Help Guide Choices for Breast Cancer Therapies

A new technique could give women and their oncologists more personalized information for choosing breast cancer treatment options.