Cancers, Volume 15, Issue 16
August-2 2023 - 185 articles
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Cover Story: Ovarian cancer remains the leading cause of mortality from gynecologic cancer, primarily due to drug resistance. Early identification of patients whose cancers are resistant to chemotherapy is a goal of precision medicine. In this study, we present a prototype deep learning artificial intelligence framework that uses pre-treatment histopathology images of high-grade serous ovarian cancers to predict the cancer’s sensitivity or resistance to subsequent platinum-based chemotherapy. We also pilot an occlusion sensitivity analysis as an attempt to start associating histopathological features with chemotherapy response. Analyses of this type could provide fast, inexpensive predictions of response to therapy at the time of initial pathological diagnosis. View this paper