Keshet Ayya, Reicher Lee, Bar Noam, Segal Eran
Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.
Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
Nat Metab. 2023 Apr;5(4):563-571. doi: 10.1038/s42255-023-00778-y. Epub 2023 Apr 26.
Cardiometabolic diseases are a major public-health concern owing to their increasing prevalence worldwide. These diseases are characterized by a high degree of interindividual variability with regards to symptoms, severity, complications and treatment responsiveness. Recent technological advances, and the growing availability of wearable and digital devices, are now making it feasible to profile individuals in ever-increasing depth. Such technologies are able to profile multiple health-related outcomes, including molecular, clinical and lifestyle changes. Nowadays, wearable devices allowing for continuous and longitudinal health screening outside the clinic can be used to monitor health and metabolic status from healthy individuals to patients at different stages of disease. Here we present an overview of the wearable and digital devices that are most relevant for cardiometabolic-disease-related readouts, and how the information collected from such devices could help deepen our understanding of metabolic diseases, improve their diagnosis, identify early disease markers and contribute to individualization of treatment and prevention plans.
心血管代谢疾病因其在全球范围内的患病率不断上升而成为主要的公共卫生问题。这些疾病的特点是在症状、严重程度、并发症和治疗反应性方面存在高度的个体间差异。最近的技术进步以及可穿戴和数字设备的日益普及,使得对个体进行越来越深入的剖析成为可能。此类技术能够描绘多种与健康相关的结果,包括分子、临床和生活方式的变化。如今,可在诊所外进行连续和纵向健康筛查的可穿戴设备可用于监测从健康个体到处于疾病不同阶段患者的健康和代谢状况。在此,我们概述了与心血管代谢疾病相关读数最相关的可穿戴和数字设备,以及从此类设备收集的信息如何有助于加深我们对代谢疾病的理解、改善其诊断、识别早期疾病标志物并有助于治疗和预防计划的个性化。