In addition to HER2‐positive breast cancer, in the study of Savitri Krishnamurthy and others [50] deep learning algorithms were used to evaluate the response to NAT in 165 cases of TNBC, and the AUC reached 0.75, suggesting that it can effectively predict the treatment response of this highly invasive type of breast cancer, provide treatment options for patients as early as possible, and is expected to achieve strategies such as early stratified precision treatment. This evidence concerns the gene BRD2 and breast cancer.