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Molecular imaging to optimize the care of patients with advanced prostate cancer: connecting the dots between radiomics and transcriptomics using artificial intelligence

Molecular imaging to optimize the care of patients with advanced prostate cancer: connecting the dots between radiomics and transcriptomics using artificial intelligence
分子成像优化晚期前列腺癌患者的护理：使用人工智能连接放射组学和转录组学之间的点
批准号：
466805
负责人：
Touma Nawar
金额：
$1.27万
依托单位：
Universit Laval
依托单位国家：
加拿大
项目类别：
Studentship Programs
财政年份：
2021
资助国家：
加拿大
项目状态：
已结题
起止时间：
2021-12-01 至 2022-12-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=466805&lang=en
关键词：
Artificial Intelligence F-Fdg Molecular Imaging Pet/Ct Predictive Model Prostate Cancer Radiomics Transcriptomics

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英文摘要
Prostate cancer (PCa) has the second leading cancer-specific mortality in Canadian men. At time of diagnosis, cancer's aggressiveness is determined to predict the risk of mortality. Molecular imaging can identify distinct features present in cancerous tis
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