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<section data-color="rgb(182, 228, 253)" data-custom="rgb(182, 228, 253)"><section><section><section><section><section><section><section><section><section><section><section><section><section><section><section><section><section><section><section><section><p><p><img src="image/20201014/86b79d371e9862b01189f0252a03b2cd_1.jpg" /></p></p></section><section><section><span><strong></strong></span></section><p><span>医疗器械媒体报道先锋</span></p><p><span>分享专业医疗器械知识</span></p></section><section><section><section><span>关注</span></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section><section data-id="97965" data-tools="gulangu"><section><section><br /></section><section><span>来源:医学新视点<br /></span></section><section><br /></section><section><span>2型糖尿病是最常见的糖尿病类型,会导致各种并发症,已成为影响健康的主要慢性疾病之一。不过,由于早期症状不明显,约一半的患者并不了解自己的糖尿病风险。</span></section><section><br /></section><section><span>美国加州大学旧金山分校(UCSF)的研究人员如今开发出了一种“数字生物标志物”,可使用智能手机内置摄像头来检测2型糖尿病,有望带来一种成本低廉的“家庭版”检测工具,以取代常规的抽血及其他筛查工具。研究成果近日发表在《自然-医学》(Nature Medicine)。</span></section><section><br /></section><section><span>在开发这种生物标志物时,研究人员假定智能手机摄像头可以通过测量PPG(光电容积脉搏波描记法)信号来检测由糖尿病导致的血管损伤——包括智能手表和健身追踪器在内,大多数移动设备都能够获得这种信号。使用智能手机上的手电筒和摄像头,研究人员通过捕捉每次心跳对应的指尖颜色变化来测量PPG信号。</span></section><section><br /></section><section><span>在本项研究中,研究人员从5万多名参与者中获得了近300万份PPG信号记录——所有参与者都使用了一款可测量心率的APP。这些数据被用来开发和验证一种深度学习算法,根据智能手机所测得的PPG信号来检测糖尿病的存在。</span></section><section><br /></section><section><span>结果令人欣喜,在两个独立数据集中,该算法正确识别了高达81%的糖尿病患者。而当该算法在来自诊所的另外一个患者数据集中进行验证时,它也正确识别了82%的糖尿病患者。此外,在该算法预测没得糖尿病的人中,92%-97%确实没得糖尿病。当这种由PPG信号推导的预测与其他患者信息(如年龄、性别)结合起来时,预测能力还会进一步提高。</span></section><section><br /></section><section><span>论文作者之一,加州大学旧金山分校心脏病专家Jeffrey Olgin博士表示:“基于智能手机这类被广泛使用的工具,可帮助糖尿病高风险人群寻求医疗护理并获得低成本的确诊检测。”研究人员建议展开进一步的研究,以更好地确定这种方法在实际临床应用(如筛查或治疗监测)中的有效性。</span></section><section><br /></section><section><br /></section><p><p><img src="image/20201014/2fb0228ad1430022416fdbc5ca45345c_2.jpg" /></p></p><p><span>图片来源:pixabay</span></p><p><br /></p><section><section><section data-color="#757576"><section><section><section data-brushtype="text"><strong>相关阅读</strong></section></section></section><section><section><section><br /></section></section></section><section data-width="100%"><section><section><section><section data-width="100%"><section><section><p><img src="image/20201014/2aac877ff9233ba5a66e7a5ff3a4febf_3.gif" /></p></section><section data-brushtype="text"><span>戳一下,更有料!</span></section></section><section><br /></section><section><a target="_blank" 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