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Mathematics > Quantum Algebra
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Multimodal data-based graph convolutional networks for predicting outcomes in ovarian cancer receiving neoadjuvant chemotherapy - npj Precision Oncology
Abstract Although neoadjuvant chemotherapy (NACT) is commonly used for advanced ovarian cancer, patient outcomes vary substantially. We developed a graph convolutional network (GCN) that integrates patient-specific baseline clinical variables and computed tomography–derived radiomic features while modeling inter-patient relationships to improve outcome prediction beyond standard models.
[2510.04119] Quantum super Manin matrices
arXiv:2510.04119 (math) View PDF HTML (experimental) Subjects: Quantum Algebra (math.QA) Cite as: arXiv:2510.04119 [math.QA] (or arXiv:2510.04119v1 [math.QA] for this version) https://doi.org/10.48550/arXiv.2510.04119 Submission history From: Jian Zhang [ view email] [v1] Sun, 5 Oct 2025 09:45:14 UTC (17 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?)...
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