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用于光动力疗法的人工智能嵌入式、多通道无线遥测植入设备。

AI-enabled, implantable, multichannel wireless telemetry for photodynamic therapy.

机构信息

Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA.

Leeds Institute of Medical Research, University of Leeds, Leeds, UK.

出版信息

Nat Commun. 2022 Apr 21;13(1):2178. doi: 10.1038/s41467-022-29878-1.

Abstract

Photodynamic therapy (PDT) offers several advantages for treating cancers, but its efficacy is highly dependent on light delivery to activate a photosensitizer. Advances in wireless technologies enable remote delivery of light to tumors, but suffer from key limitations, including low levels of tissue penetration and photosensitizer activation. Here, we introduce DeepLabCut (DLC)-informed low-power wireless telemetry with an integrated thermal/light simulation platform that overcomes the above constraints. The simulator produces an optimized combination of wavelengths and light sources, and DLC-assisted wireless telemetry uses the parameters from the simulator to enable adequate illumination of tumors through high-throughput (<20 mice) and multi-wavelength operation. Together, they establish a range of guidelines for effective PDT regimen design. In vivo Hypericin and Foscan mediated PDT, using cancer xenograft models, demonstrates substantial suppression of tumor growth, warranting further investigation in research and/or clinical settings.

摘要

光动力疗法 (PDT) 在治疗癌症方面具有多项优势,但疗效高度依赖于激活光敏剂的光输送。无线技术的进步使远程输送光到肿瘤成为可能,但存在关键限制,包括组织穿透率低和光敏剂激活度低。在这里,我们引入了 DeepLabCut (DLC)-知情的低功率无线遥测技术,并结合了集成的热/光模拟平台,克服了上述限制。该模拟器生成了波长和光源的优化组合,而 DLC 辅助的无线遥测则使用模拟器中的参数,通过高通量(<20 只小鼠)和多波长操作来实现肿瘤的充分照射。它们共同为有效的 PDT 方案设计确立了一系列指南。使用癌症异种移植模型的血卟啉和 Foscan 介导的 PDT 的体内实验表明,肿瘤生长得到了显著抑制,有必要在研究和/或临床环境中进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/47bc/9023557/44107ed76f6e/41467_2022_29878_Fig1_HTML.jpg

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