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肿瘤免疫疗法、卒中干预、AI、基因组学上榜克利夫兰10大医疗创新!

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发表于 2020-10-14 14:47:26 | 显示全部楼层 |阅读模式

                    

                    

                    
                    
                    <section data-role="paragraph" data-color="rgb(182, 228, 253)" data-custom="rgb(182, 228, 253)"><section><section><section><section powered-by="gulangu"><section><section><section><section powered-by="gulangu"><section><section><section><section powered-by="gulangu"><section><section><section><section powered-by="gulangu"><section><section><section><section><p><p><img src="image/20201014/86b79d371e9862b01189f0252a03b2cd_1.png" /></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>关注</section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section><p><strong><span>来源:</span></strong></p><p><strong><span><br  /></span></strong></p><p><span>美国克利夫兰诊所是一家非盈利性多专科学术医疗中心。近十几年来,每年都会举行医疗峰会来评选即将发生的,最具有影响力的,革新性的医疗科技。文中视频来源网络,出于科普目的,翻译整理。</span></p><p><span><br  /></span></p><section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section><svg xmlns="http://www.w3.org/2000/svg" x="0px" y="0px" viewbox="0 0 64.7 40.8" width="100%"><g><path d="M36.2,27c0,0.2,0,0.4,0,0.6l0,0c0.5,7.4,6.7,13.3,14.2,13.3c7.9,0,14.3-6.4,14.3-14.3c0-7.2-5.3-13.1-12.2-14.1   C53,8.9,54.2,4,57,0c0,0-19,3-20.7,24.7c-0.1,0.6-0.1,1.2-0.1,1.8C36.2,26.7,36.2,26.9,36.2,27z" fill="rgb(144,201,224)"></path><path d="M0,27c0,0.2,0,0.4,0,0.6l0,0C0.6,35,6.7,40.8,14.3,40.8c7.9,0,14.3-6.4,14.3-14.3c0-7.2-5.3-13.1-12.2-14.1   C16.8,8.9,18,4,20.8,0c0,0-19,3-20.7,24.7C0,25.3,0,26,0,26.6C0,26.7,0,26.9,0,27z" fill="rgb(144,201,224)"></path></g></svg></section></section></section></section></section></section><section powered-by="gulangu"><section><section><p><strong>第4名:肿瘤免疫治疗的研究进展</strong></p></section></section></section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section><svg xmlns="http://www.w3.org/2000/svg" x="0px" y="0px" viewbox="0 0 64.7 40.8" width="100%"><g><path d="M28.5,13.8c0-0.2,0-0.4,0-0.6l0,0C28,5.8,21.8,0,14.3,0C6.4,0,0,6.4,0,14.3c0,7.2,5.3,13.1,12.2,14.1   c-0.5,3.5-1.7,8.4-4.5,12.5c0,0,19-3,20.7-24.7c0.1-0.6,0.1-1.2,0.1-1.8C28.5,14.1,28.5,14,28.5,13.8z" fill="rgb(144,201,224)"></path><path d="M64.7,13.8c0-0.2,0-0.4,0-0.6l0,0C64.2,5.8,58,0,50.5,0c-7.9,0-14.3,6.4-14.3,14.3c0,7.2,5.3,13.1,12.2,14.1   c-0.5,3.5-1.7,8.4-4.5,12.5c0,0,19-3,20.7-24.7c0.1-0.6,0.1-1.2,0.1-1.8C64.7,14.1,64.7,14,64.7,13.8z" fill="rgb(144,201,224)"></path></g></svg></section></section></section></section></section></section></section></section></section></section></section></section><section powered-by="gulangu"><section><section><p><br  /></p></section></section></section><section powered-by="gulangu"><section><section><p><iframe src="https://v.qq.com/iframe/player.html?width=500&height=375&auto=0&vid=d0832d7geci&auto=0" width="100%" height="580" frameborder="0"></iframe></p><p><br  /></p><p>癌症免疫疗法或生物疗法是一种利用人体自身免疫系统对抗癌症的技术。虽然癌症的免疫疗法已经存在一段时间,但是世界范围内治疗癌症的工作仍然突出了新的和新型的免疫治疗靶点。科学家正在通过联合治疗和工程化T细胞的概念创造改变生活的新癌症治疗方法。随着近期每日发现新的免疫治疗靶点和生物标志物,希望所有肿瘤谱的有效治疗很快就会存在。</p></section></section></section><section powered-by="gulangu"><section><section><p><br  /></p></section></section></section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section><svg xmlns="http://www.w3.org/2000/svg" x="0px" y="0px" viewbox="0 0 64.7 40.8" width="100%"><g><path d="M36.2,27c0,0.2,0,0.4,0,0.6l0,0c0.5,7.4,6.7,13.3,14.2,13.3c7.9,0,14.3-6.4,14.3-14.3c0-7.2-5.3-13.1-12.2-14.1   C53,8.9,54.2,4,57,0c0,0-19,3-20.7,24.7c-0.1,0.6-0.1,1.2-0.1,1.8C36.2,26.7,36.2,26.9,36.2,27z" fill="rgb(144,201,224)"></path><path d="M0,27c0,0.2,0,0.4,0,0.6l0,0C0.6,35,6.7,40.8,14.3,40.8c7.9,0,14.3-6.4,14.3-14.3c0-7.2-5.3-13.1-12.2-14.1   C16.8,8.9,18,4,20.8,0c0,0-19,3-20.7,24.7C0,25.3,0,26,0,26.6C0,26.7,0,26.9,0,27z" fill="rgb(144,201,224)"></path></g></svg></section></section></section></section></section></section><section powered-by="gulangu"><section><section><p><strong>第3名:急性卒中干预的扩大窗口</strong></p></section></section></section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section><svg xmlns="http://www.w3.org/2000/svg" x="0px" y="0px" viewbox="0 0 64.7 40.8" width="100%"><g><path d="M28.5,13.8c0-0.2,0-0.4,0-0.6l0,0C28,5.8,21.8,0,14.3,0C6.4,0,0,6.4,0,14.3c0,7.2,5.3,13.1,12.2,14.1   c-0.5,3.5-1.7,8.4-4.5,12.5c0,0,19-3,20.7-24.7c0.1-0.6,0.1-1.2,0.1-1.8C28.5,14.1,28.5,14,28.5,13.8z" fill="rgb(144,201,224)"></path><path d="M64.7,13.8c0-0.2,0-0.4,0-0.6l0,0C64.2,5.8,58,0,50.5,0c-7.9,0-14.3,6.4-14.3,14.3c0,7.2,5.3,13.1,12.2,14.1   c-0.5,3.5-1.7,8.4-4.5,12.5c0,0,19-3,20.7-24.7c0.1-0.6,0.1-1.2,0.1-1.8C64.7,14.1,64.7,14,64.7,13.8z" fill="rgb(144,201,224)"></path></g></svg></section></section></section></section></section></section></section></section></section></section></section></section><section powered-by="gulangu"><section><section><p><br  /></p></section></section></section><section powered-by="gulangu"><section><section><p><img src="image/20201014/63faed17e95519741c093fb27b8cd15b_2.png" /></p></section></section></section><section powered-by="gulangu"><section><section><p><br  /></p></section></section></section><section powered-by="gulangu"><section><section><p>在卒中干预方面,及时的反应至关重要。中风后长时间缺乏血流会导致不可逆转的破坏,通常会导致残疾。在许多中风病例中,可以采用干预方法来保存组织。但到目前为止,仅在有限的时间内推荐了中风干预。去年发布的新指南建议扩大治疗范围。预计这种延长的时间范围可降低残疾风险,并为未来卒中患者数量的增加提供恢复机会。</p></section></section></section><section powered-by="gulangu"><section><section><p><br  /></p></section></section></section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section><svg xmlns="http://www.w3.org/2000/svg" x="0px" y="0px" viewbox="0 0 64.7 40.8" width="100%"><g><path d="M36.2,27c0,0.2,0,0.4,0,0.6l0,0c0.5,7.4,6.7,13.3,14.2,13.3c7.9,0,14.3-6.4,14.3-14.3c0-7.2-5.3-13.1-12.2-14.1   C53,8.9,54.2,4,57,0c0,0-19,3-20.7,24.7c-0.1,0.6-0.1,1.2-0.1,1.8C36.2,26.7,36.2,26.9,36.2,27z" fill="rgb(144,201,224)"></path><path d="M0,27c0,0.2,0,0.4,0,0.6l0,0C0.6,35,6.7,40.8,14.3,40.8c7.9,0,14.3-6.4,14.3-14.3c0-7.2-5.3-13.1-12.2-14.1   C16.8,8.9,18,4,20.8,0c0,0-19,3-20.7,24.7C0,25.3,0,26,0,26.6C0,26.7,0,26.9,0,27z" fill="rgb(144,201,224)"></path></g></svg></section></section></section></section></section></section><section powered-by="gulangu"><section><section><p><strong>第2名:AI在医疗保健领域的发展</strong></p></section></section></section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section><svg xmlns="http://www.w3.org/2000/svg" x="0px" y="0px" viewbox="0 0 64.7 40.8" width="100%"><g><path d="M28.5,13.8c0-0.2,0-0.4,0-0.6l0,0C28,5.8,21.8,0,14.3,0C6.4,0,0,6.4,0,14.3c0,7.2,5.3,13.1,12.2,14.1   c-0.5,3.5-1.7,8.4-4.5,12.5c0,0,19-3,20.7-24.7c0.1-0.6,0.1-1.2,0.1-1.8C28.5,14.1,28.5,14,28.5,13.8z" fill="rgb(144,201,224)"></path><path d="M64.7,13.8c0-0.2,0-0.4,0-0.6l0,0C64.2,5.8,58,0,50.5,0c-7.9,0-14.3,6.4-14.3,14.3c0,7.2,5.3,13.1,12.2,14.1   c-0.5,3.5-1.7,8.4-4.5,12.5c0,0,19-3,20.7-24.7c0.1-0.6,0.1-1.2,0.1-1.8C64.7,14.1,64.7,14,64.7,13.8z" fill="rgb(144,201,224)"></path></g></svg></section></section></section></section></section></section></section></section></section></section></section></section><section powered-by="gulangu"><section><section><p><br  /></p></section></section></section><section powered-by="gulangu"><section><section><p><iframe src="https://v.qq.com/iframe/player.html?width=500&height=375&auto=0&vid=j08325doa2f&auto=0" width="100%" height="580" frameborder="0"></iframe></p><p><br  /></p><p>曾经被认为是对人类的未来威胁,人工智能现在已成为日常生活的一部分。在医疗保健方面,人工智能正在改变游戏的应用,包括决策支持,图像分析和患者分类。如今,人工智能正在帮助医生在护理点做出更明智的决策,提高查看患者扫描的简易性和准确性,并减少医生的倦怠感。例如,机器学习算法能够突出显示图像上的问题区域,帮助筛选过程并快速了解医生的EMR系统中的大量数据。随着人工智能不断融入医疗保健领域,照顾患者已成为一个更聪明,更努力的工作。</p></section></section></section><section powered-by="gulangu"><section><section><p><br  /></p></section></section></section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section><svg xmlns="http://www.w3.org/2000/svg" x="0px" y="0px" viewbox="0 0 64.7 40.8" width="100%"><g><path d="M36.2,27c0,0.2,0,0.4,0,0.6l0,0c0.5,7.4,6.7,13.3,14.2,13.3c7.9,0,14.3-6.4,14.3-14.3c0-7.2-5.3-13.1-12.2-14.1   C53,8.9,54.2,4,57,0c0,0-19,3-20.7,24.7c-0.1,0.6-0.1,1.2-0.1,1.8C36.2,26.7,36.2,26.9,36.2,27z" fill="rgb(144,201,224)"></path><path d="M0,27c0,0.2,0,0.4,0,0.6l0,0C0.6,35,6.7,40.8,14.3,40.8c7.9,0,14.3-6.4,14.3-14.3c0-7.2-5.3-13.1-12.2-14.1   C16.8,8.9,18,4,20.8,0c0,0-19,3-20.7,24.7C0,25.3,0,26,0,26.6C0,26.7,0,26.9,0,27z" fill="rgb(144,201,224)"></path></g></svg></section></section></section></section></section></section><section powered-by="gulangu"><section><section><p><strong><span>第1名:<span>疼痛的替代疗法,基因组学</span></span></strong></p></section></section></section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section><svg xmlns="http://www.w3.org/2000/svg" x="0px" y="0px" viewbox="0 0 64.7 40.8" width="100%"><g><path d="M28.5,13.8c0-0.2,0-0.4,0-0.6l0,0C28,5.8,21.8,0,14.3,0C6.4,0,0,6.4,0,14.3c0,7.2,5.3,13.1,12.2,14.1   c-0.5,3.5-1.7,8.4-4.5,12.5c0,0,19-3,20.7-24.7c0.1-0.6,0.1-1.2,0.1-1.8C28.5,14.1,28.5,14,28.5,13.8z" fill="rgb(144,201,224)"></path><path d="M64.7,13.8c0-0.2,0-0.4,0-0.6l0,0C64.2,5.8,58,0,50.5,0c-7.9,0-14.3,6.4-14.3,14.3c0,7.2,5.3,13.1,12.2,14.1   c-0.5,3.5-1.7,8.4-4.5,12.5c0,0,19-3,20.7-24.7c0.1-0.6,0.1-1.2,0.1-1.8C64.7,14.1,64.7,14,64.7,13.8z" fill="rgb(144,201,224)"></path></g></svg></section></section></section></section></section></section></section></section></section></section></section></section><section powered-by="gulangu"><section><section><p><br  /></p></section></section></section><section powered-by="gulangu"><section><section><p><iframe src="https://v.qq.com/iframe/player.html?width=500&height=375&auto=0&vid=m0832tk5915&auto=0" width="100%" height="580" frameborder="0"></iframe></p><p><br  /></p><p>阿片类药物危机已被宣布为突发公共卫生事件。今天,慢性疼痛是阿片类药物处方的主要原因。尽管存在一些临床验证的慢性疼痛替代疗法,但没有一种能够减少危机。现在,创新和希望的潜力来自药物基因组学测试,其使用患者的基因组成来预测个体的药物代谢,包括一些基于鸦片剂的药物。药物基因组学测试可用于避免不良反应,并消除不必要的和无效的处方,用更有效的药物替代它们。药物基因组学也可用于预测一些阿片类镇痛药可能很少或没有疼痛缓解。此类患者可能会很快完成处方并早于预期返回新处方。药物基因组学可以减少或消除可能不公平地归因于此类患者的“寻求药物”的耻辱,并提供定制药物治疗的机会。2019年,随着基因检测的增加,药物基因组学有望在精准医学方面取得重大进展,并可能结束危机。</p><p><br  /></p></section></section></section></section><p><strong><span>本文视频来源外网,出于科普目的翻译整理字幕,转载请注明出处。</span></strong></p><p>&nbsp;</p><section data-id="1658"><section><section><section data-id="1658"><section><section><section data-id="1658"><section><section><section data-id="1658"><section><section><p><span><strong>相关阅读</strong></span></p></section><p><p><img src="image/20201014/ec237188ae1e9c03eb4d9814f31b18ab_3.gif" 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