可穿戴计算机
医学
重症监护医学
持续监测
生物标志物
心理干预
糖尿病
连续血糖监测
可穿戴技术
疾病
医疗保健
疾病管理
计算机科学
工程类
病理
1型糖尿病
嵌入式系统
运营管理
生物化学
化学
精神科
经济增长
帕金森病
经济
内分泌学
作者
Jane M. Donnelly,Ryan Neff,Andrew J. H. Sedlack,Vuslat B. Juska,Luis Fernando Ayala‐Cardona,Joseph Bass,Elizabeth M. McNally,Sanjiv J. Shah,Nabil Alshurafa,Eyal Y. Kimchi,G. R. Scott Budinger,Shana O. Kelley
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2025-09-25
卷期号:389 (6767)
被引量:2
标识
DOI:10.1126/science.ady6497
摘要
Continuous biomarker monitoring is revolutionizing chronic disease management, with glucose monitoring for diabetes as the primary example. Given the success of this approach, a transition to continuous protein monitoring (CPM, a real-time, implantable or wearable technology) could similarly advance precision medicine. In this work, we review state-of-the-art CPM platforms and their prospective clinical impact across both chronic disorders—metabolic, cardiovascular, autoimmune, and neurodegenerative—and acute crises, such as sepsis and transplant dysfunction. We also highlight remaining barriers to widespread adoption, including sensor stability, robust machine learning models for live interpretation, and responsible data handling for patient privacy. With continued engineering and clinical validation, emerging biosensor technologies could transform disease management, facilitating earlier interventions and individualizing treatment strategies, ultimately improving patient outcomes.
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