Abstract: Disclosed are systems and methods for predicting response of triple-negative breast cancer to neoadjuvant chemotherapy using a deep convolutional neural network-based artificial intelligence tool a method of predicting patient response to therapy. The system divides patient tissue image slides into multiple tiles. A convolutional neural network (CNN) is trained based on the multiple tiles. The system may perform artifact detection and cancer classification to identify patterns and features that capture tumor cell heterogeneity along with stromal and tumor micro environment (TME) components of a second set of patient tissue image tiles.

Abstract: A method of stimulating an immune response to a tumor in an immunocompetent subject by administering a p53 expression construct to a tumor. The construct expresses p53 in tumor cells in an amount sufficient to stimulate an immune response against the tumor. Both viral and non-viral delivery systems are contemplated. The method can be combined with chemotherapy agents as well as with other cancer therapies.