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Updated: Feb 4, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
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关于PROSECCA研究的协议:使用人工智能和基于人口的电子医疗数据预测放射治疗结果的新方法

William H Nailon1,2,3, David J Noble4,5, Ewen Harrison6

  • 1Institute of Genetics and Cancer, University of Edinburgh Western General Hospital, Edinburgh, Lothian, UK W.Nailon@ed.ac.uk.

BMJ open
|February 2, 2026
PubMed
概括

在PROSECCA研究中,使用电子健康记录来识别预测前列腺癌放射治疗反应的生物标志物. 这旨在个性化治疗,最大限度地提高治愈率,尽量减少患者的副作用.

关键词:
机器学习 机器学习医学物理 医学物理患者 患者 患者 患者前列腺前列腺前列腺辐射疗法 辐射疗法泌尿系统瘤 泌尿系统瘤

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