Plos one:癌症患者是否会抑郁,让AI工具来告诉你

2019-01-30 小通 生物通

癌症患者的抑郁和焦虑症状的发生率很高。因此,在癌症治疗的同时,医生需要重视抑郁和焦虑症状,才能全面改善癌症患者的生活质量。现在,有了英国萨里大学开发的一种人工智能(AI)工具,医生能够更好地治疗癌症。

癌症患者的抑郁和焦虑症状的发生率很高。因此,在癌症治疗的同时,医生需要重视抑郁和焦虑症状,才能全面改善癌症患者的生活质量。现在,有了英国萨里大学开发的一种人工智能(AI)工具,医生能够更好地治疗癌症。

在近期发表于《PLOS One》的一篇论文中,萨里大学的研究人员详细介绍了他们如何建立两种机器学习模型,来准确预测癌症患者面临的三种常见症状的严重程度 – 抑郁、焦虑和睡眠障碍。这三种症状都导致癌症患者的生活质量严重下降。

这项研究由英国萨里大学和美国加州大学旧金山分校合作开展。萨里大学视觉、语言和信号处理中心的Nikolaos Papachristou为本文的通讯作者。加州大学旧金山分校的研究工作则由Christine Miaskowski教授领导。

研究人员对癌症患者在计算机断层扫描X射线治疗过程中出现的症状进行分析。他们利用不同的时间段来测试机器学习算法是否能够准确预测症状是否出现以及何时出现。

他们使用了两种算法,包括支持向量回归(SVR)和神经网络的非线性典型相关分析(n-CCA)。研究结果表明,实际报告的症状与机器学习方法预测的症状非常接近。

研究人员认为,这些类型的预测模型可以识别高风险患者,指导患者的症状体验,并采取个性化的症状管理干预措施。

萨里大学的机器智能教授Payam Barnaghi认为:“这些令人兴奋的结果表明,机器学习技术有望真正改变癌症患者的生活。它们能够帮助医生发现高风险的患者,协助并支持他们的症状体验,并预先计划症状管理方式,从而提高生活质量。”

Nikos Papachristou表示:“我很高兴地看到机器学习和人工智能带来了一个解决方案,将对癌症患者的生活质量产生积极的影响。”

原始出处:Papachristou N1, Puschmann D1, Barnaghi P1, et al. Learning from data to predict future symptoms of oncology patients. PLoS One. 2018 Dec 31;13(12):e0208808.

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    2019-01-31 Y—xianghai

    学习了长知识学习了新知识

    0

  5. 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    2019-01-31 Y—xianghai

    学习了长知识

    0

  6. 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level=null, likeNumber=19, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201006/4db877c2887649beb09cb5effd0b38c7/916f66edd48a4e77b20ebc3e14b6e45c.jpg, createdBy=141e1980133, createdName=Y—xianghai, createdTime=Thu Jan 31 09:16:26 CST 2019, time=2019-01-31, status=1, ipAttribution=)]
    2019-01-31 Y—xianghai

    学习了新知识

    0

  7. 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    2019-01-31 Y—xianghai

    学习了长知识

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  8. 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    2019-01-31 Y—xianghai

    学习了新知识

    0

  9. 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    2019-01-31 Y—xianghai

    学习了新知识

    0

  10. 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    2019-01-31 Y—xianghai

    学习了长知识

    0

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Nat Biol Engin:中国科学家构建筛查新法,1微升血清20分钟内“识别”6种癌症

日前,中科院国家纳米中心研究员孙佳姝团队构建了一套高“性价比”的癌症筛查方法:只需1微升血清(通常采血管采血量的1/5000),通过对其中细胞外囊泡的检测,就可在20分钟内对6种癌症进行早期筛查,同时也能较为准确地对癌症进行分类。

临床试药 或许就是“救命稻草”

癌症已经成为中国的头号杀手,22%的新发癌病例和27%的癌症死亡病例均出现在中国。但是,大部分晚期癌症病人并不知道,参加新药临床试验或许能成为一根“救命稻草”。