Emerging Technologies for Timely Point-of-Care Diagnostics of Skin Cancer

IF 4.4 4区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Jarrod L. Thomas, Adrian H. M. Heagerty, Pola Goldberg Oppenheimer
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引用次数: 0

Abstract

Skin cancer is a global health crisis and a leading cause of morbidity and mortality worldwide. A leading factor of malignancy remains the UV radiation, driving various biomolecular changes. With shifting population behaviors, deficiency in screening programs and reliance on self-presentation, climate change and the ageing world populace, global incidents have been surging alarmingly. There is an urgent need for new technologies to achieve timely intervention through rapid and accurate diagnostics of skin cancer. Raman spectroscopy has been emerging as a highly promising analytical technology for diagnostic applications, poised to outpace the current costly, invasive and slow procedures, frequently hindered by varying sensitivity, specificity and lack of portability. Herein, complex and intricate progress are overviewed and consolidated across medical and engineering disciplines with a focus on the latest advances in the traditional and emerging skin cancer diagnostics. Methods detecting structural and chemical responses are categorized along with emerging chemo-biophysical sensing techniques. Particular attention is drawn to Raman spectroscopy, as a non-invasive, rapid and accurate sensing of molecular fingerprints in dermatological matrix with an additional focus on artificial intelligence, as a decision support tool collectively, laying the platform toward development and rapid translation of point-of-care diagnostic technologies for skin cancer to real-world applications.

Abstract Image

皮肤癌即时即时诊断的新兴技术
皮肤癌是一个全球性的健康危机,也是全世界发病率和死亡率的主要原因。恶性肿瘤的一个主要因素仍然是紫外线辐射,驱动各种生物分子变化。随着人口行为的变化,筛查项目的缺乏和对自我展示的依赖,气候变化和世界人口老龄化,全球事件正在惊人地激增。迫切需要新技术,通过快速准确的皮肤癌诊断实现及时干预。拉曼光谱已经成为一种非常有前途的诊断应用分析技术,有望超越目前昂贵、侵入性和缓慢的程序,经常受到灵敏度、特异性和缺乏便携性的阻碍。在这里,复杂和错综复杂的进展概述和整合跨医学和工程学科,重点是在传统和新兴的皮肤癌诊断的最新进展。检测结构和化学反应的方法与新兴的化学生物物理传感技术一起分类。特别值得关注的是拉曼光谱,作为一种非侵入性,快速和准确的皮肤基质分子指纹传感,人工智能作为一种决策支持工具,共同为皮肤癌即时诊断技术的开发和快速转化奠定了平台。
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来源期刊
Global Challenges
Global Challenges MULTIDISCIPLINARY SCIENCES-
CiteScore
8.70
自引率
0.00%
发文量
79
审稿时长
16 weeks
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