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In Silico Clinical Trials for Cardiovascular Disease
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用新型放射基因组学风险预测器精确地解释心血管复合风险评估的制药范式 人工智能框架:临床试验工具

Luca Saba1, Mahesh Maindarkar2,3, Narendra N Khanna4

  • 1Department of Radiology, Azienda Ospedaliero Universitaria, 40138 Cagliari, Italy.

Frontiers in bioscience (Landmark edition)
|November 2, 2023
PubMed
概括

整合基因组和放射性生物标志物可以改善心血管疾病 (CVD) 风险预测. 一个可解释的人工智能 (XAI) 模型增强了对个性化医学的预测.

关键词:
偏见 偏见 偏见 偏见 偏见生物标志物 生物标志物心血管疾病心血管疾病这是一个云云云.深度学习是一种深度学习.可解释的人工智能基因组学就是基因组学.多中心多中心.制药公司的药品.修剪 修剪 修剪 修剪无线电学 (radiomics) 是一种无线电学.一次性中风中风中风中风中风

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