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PR-NET: Leveraging Pathway Refined Network Structures for Prostate Cancer Patient Condition Prediction

By Ronghan Li and others at
LogoChinese Academy of Sciences
The diagnosis and monitoring of Castrate Resistant Prostate Cancer (CRPC) are crucial for cancer patients, but the current models (such as P-NET) have limitations in terms of parameter count, generalization, and cost. To address the issue, we develop a more accurate and efficient Prostate Cancer patient condition prediction model, named... Show more
March 12, 2024
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PR-NET: Leveraging Pathway Refined Network Structures for Prostate Cancer Patient Condition Prediction
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