Bioelectronics for targeted pain management

Matthew T. Flavin, Jose A. Foppiani, Marek A. Paul, Angelica H. Alvarez, Lacey Foster, Dominika Gavlasova, Haobo Ma, John A. Rogers, Samuel J. Lin
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Abstract

Pain management in humans is an unresolved problem with substantial medical, societal and economic implications. Traditional strategies such as opioid-based medications are highly effective but pose many long-term risks, including addiction and overdose. In this Review, we discuss these persistent challenges in medical care along with advances in bioelectronics that enable safer and more effective alternative treatments. Emerging approaches leverage wireless embedded networks and machine learning to accurately detect and quantify the symptoms of pain, establishing a foundation for targeted, on-demand treatment. These platforms offer a powerful complement to wearable and implantable neural interfaces that can control these symptoms with unprecedented spatiotemporal and functional selectivity. Now, emotional and cognitive aspects of pain can be addressed through immersive multisensory engagement with systems for augmented and virtual reality. Trends in diagnostic and interventional technologies show how their integration is well suited to addressing some of the most intractable problems in pain management. Pain is a profound and unresolved health challenge, and current interventions are not sufficient for safe and effective pain management. Bioelectronics presents solutions for monitoring the symptoms of pain and treating these symptoms in a targeted manner.

Abstract Image

针对疼痛管理的生物电子学
人类疼痛管理是一个尚未解决的问题,具有重大的医学、社会和经济意义。阿片类药物等传统策略非常有效,但存在许多长期风险,包括成瘾和过量服用。在这篇综述中,我们讨论了医疗保健中这些持续存在的挑战,以及生物电子学的进步,使更安全、更有效的替代治疗成为可能。新兴方法利用无线嵌入式网络和机器学习来准确检测和量化疼痛症状,为有针对性的按需治疗奠定基础。这些平台为可穿戴和植入式神经接口提供了强大的补充,可以以前所未有的时空和功能选择性控制这些症状。现在,疼痛的情感和认知方面可以通过与增强现实和虚拟现实系统的沉浸式多感官参与来解决。诊断和介入技术的发展趋势表明,它们的结合非常适合解决疼痛管理中一些最棘手的问题。疼痛是一个深刻而未解决的健康挑战,目前的干预措施不足以实现安全有效的疼痛管理。生物电子学为监测疼痛症状和有针对性地治疗这些症状提供了解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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