Mbue Ngozi D, Tabei Fatemeh, Williams Karen, Olanrewaju Kazeem
Nelda C. Stark College of Nursing, Texas Woman's University, Houston, TX 77030, USA.
Department of Electrical Engineering/Computer Science, West Texas A & M University, Canyon, TX 79016, USA.
Sensors (Basel). 2025 Sep 3;25(17):5476. doi: 10.3390/s25175476.
Sensor-based approaches are transforming the diagnosis and treatment of neurodegenerative diseases by offering more sensitive, non-invasive tools and are capable of real-time monitoring. Integrating advanced materials, nanotechnology, and artificial intelligence presents promise for earlier detection, enhanced disease management, and improved patient outcomes. From a clinical perspective, these technologies facilitate the shift toward precision medicine by enabling early intervention strategies, real-time treatment monitoring, and more refined patient stratification in practice and research contexts. This review provides an overview of recent advancements in sensor-based technologies aimed at enhancing the diagnosis and monitoring of neurodegenerative diseases (NDDs) such as Alzheimer's and Parkinson's, among others. Sensor-based technologies are adjunct tools and integral components of a next-generation framework for diagnosing, monitoring, and understanding neurodegenerative disorders.
基于传感器的方法正在通过提供更灵敏、非侵入性的工具来改变神经退行性疾病的诊断和治疗，并且能够进行实时监测。整合先进材料、纳米技术和人工智能为早期检测、加强疾病管理和改善患者预后带来了希望。从临床角度来看，这些技术通过在实践和研究环境中实现早期干预策略、实时治疗监测以及更精细的患者分层，促进了向精准医学的转变。本综述概述了基于传感器的技术在增强阿尔茨海默病和帕金森病等神经退行性疾病（NDDs）诊断和监测方面的最新进展。基于传感器的技术是诊断、监测和理解神经退行性疾病的下一代框架的辅助工具和不可或缺的组成部分。
