A subset of Triple-Negative Breast Cancer (TNBC) patients have abnormal activation of a protein (FGFR) which leads to the growth of these TNBC tumours. The study will employ the use of novel machine learning techniques (data science) to develop predictive markers to identify these patients and use new combination therapies.