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Ovarian Cancer Patients With Tumor Associated Lymphocytes Dispersed Throughout the Tumor Have a Longer Survival Time.
12020-03-10T17:06:16+00:00Amanda Koziurad8cad79289ca6f3a766facb6fa0fbb11898df036601Ovarian cancer is the most common cause of gynecologic cancer death in the United States and the second most common gynecologic malignancy with less than a 30% response to treatment. Considering the costs and side-effects of chemotherapy, there is an unmet clinical need in ovarian cancer treatment. However, by calculating computer-generated patterns of spatial arrangements between tumor-infiltrating lymphocytes (TILs) and cancer cells, one can identify long-term versus short-term survivors and thereby predict who is going to benefit from chemotherapy followed by their debulking surgery. These features are derived from standard H&E pathologic slides, identifying epithelial regions of the tissue, segmenting cancer nuclei and tumor infiltrating lymphocytes and calculating interactions between clusters of cells. These steps are all performed using artificial intelligence and deep-learning models with high accuracy and enables us to understand and investigate immune-related patterns that scientist had never looked before. These findings suggest that dispersion of TILs throughout the tumor is associated with better treatment response and is matched with genomic data.2020-03-10T17:06:16+00:00Sepideh AzarianpourAmanda Koziurad8cad79289ca6f3a766facb6fa0fbb11898df036
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12020-03-10T17:17:20+00:00Amanda Koziurad8cad79289ca6f3a766facb6fa0fbb11898df0362020 Art of STEMDaniela Solomon23Submissions from the 2020 contestgallery2024-02-02T19:46:34+00:00Daniela Solomone316041929e7cb3504341dbd1e9eb2f7bd821a14
12020-03-11T17:42:30+00:00Kyle Jones061ae84fb0af3ee4257d662c0654a6ffc248e2d5Case Western Reserve University (CWRU)Amanda Koziura5Submissions from the 2020 contest by the CWRU community and other local collegesgallery2020-03-13T17:37:56+00:00Amanda Koziurad8cad79289ca6f3a766facb6fa0fbb11898df036