数字生物标志物, 脑血管病, 数智医疗, 可穿戴设备, 人工智能, digital biomarker, cerebrovascular disease, digital intelligent healthcare, wearable device, artificial intelligence, Neurology. Diseases of the nervous system, RC346-429

数字生物标志物是借助数智技术，通过可穿戴设备等工具主动或被动采集个体的行为、生理或生化数据，再经人工智能算法分析构建的新型指标。近年来，数字生物标志物研究在糖尿病、心血管疾病、癫痫、帕金森病及抑郁症等领域发展迅猛，但其在脑血管病领域的应用尚处于初期阶段。本文对比传统与数字生物标志物的区别，介绍常用的数字设备类型，探讨数字生物标志物的筛选、应用及挑战，并结合脑血管病特点分析其潜力，以期为推进脑血管病个体化医疗、药物与脑机接口技术研发提供新思路。 Abstract: Digital biomarkers are a new index constructed by utilizing digital intelligence technology to actively or passively collect individuals’ behavioral, physiological, or biochemical data through consumer-level products such as wearable devices, and subsequently processed using artificial intelligence-based algorithms. In recent years, the research on digital biomarkers has developed rapidly in fields such as diabetes mellitus, cardiovascular disease, epilepsy, Parkinson’s disease, and depression, but its application in cerebrovascular disease is still in the early stages. This article compares the differences between traditional and digital biomarkers, reviews commonly used digital devices types, discusses the screening, applications, and challenges of digital biomarkers, and analyzes their potential in conjunction with the characteristics of cerebrovascular disease, aiming to provide new insights for advancing personalized medicine, drug development, and brain-computer interface techniques.