Bhide Ashlesha, Ganguly Antra, Parupudi Tejasvi, Ramasamy Mohanraj, Muthukumar Sriram, Prasad Shalini
Department of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
EnLiSense LLC, 1813 Audubon Pond Way, Allen, Texas 75013, United States.
ACS Omega. 2021 Feb 22;6(9):6031-6040. doi: 10.1021/acsomega.0c06209. eCollection 2021 Mar 9.
This article discusses the emergent biosensor technology focused on continuous biosensing of metabolites by non-invasive sampling of body fluids emphasized on physiological monitoring in mobility-constrained populations, resource-challenged settings, and harsh environments. The boom of innovative ideas and endless opportunities in healthcare technologies has transformed traditional medicine into a sustainable link between medical practitioners and patients to provide solutions for faster disease diagnosis. The future of healthcare is focused on empowering users to manage their own health. The confluence of big data and predictive analysis and the internet of things (IoT) technology have shown the potential of converting the abundant health profile data amassed from medical diagnosis of patients into useable information, whilst allowing caregivers to provide suitable treatment plans. The implementation of the IoT technology has opened up advanced approaches in real-time, continuous, remote monitoring of patients. Wearable, point-of-care biosensors are the future roadmap to providing direct, real-time information of health status to the user and medical professionals in this digitized era.
本文讨论了新兴的生物传感器技术,该技术专注于通过对体液进行非侵入性采样来连续检测代谢物,重点在于对行动受限人群、资源匮乏环境和恶劣环境中的生理监测。医疗技术领域创新思想的蓬勃发展和无尽机遇,已将传统医学转变为医生与患者之间的可持续纽带,为更快的疾病诊断提供解决方案。医疗保健的未来侧重于让用户能够自主管理自身健康。大数据与预测分析以及物联网(IoT)技术的融合,已显示出将从患者医疗诊断中积累的大量健康档案数据转化为可用信息的潜力,同时使护理人员能够提供合适的治疗方案。物联网技术的应用开启了对患者进行实时、连续、远程监测的先进方法。在这个数字化时代,可穿戴式即时检测生物传感器是向用户和医疗专业人员提供健康状况直接实时信息的未来发展方向。