Wearable technology and systems modeling for personalized chronotherapy
Wearable technology and systems modeling for personalized chronotherapy
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DOI：
10.1016/j.coisb.2020.07.007
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发表时间：
2020-06-01
影响因子：
3.7
通讯作者：
Kim, Jae Kyoung
中科院分区：
文献类型：
--
作者：
Kim, Dae Wook;Zavala, Eder;Kim, Jae Kyoung
时间疗法是一种药物干预措施，考虑患者的内部昼夜节律时间来调整给药时间。尽管它可以显着提高药物疗效并降低毒性，但个体之间和个体内部内部时间的巨大差异阻碍了时间疗法超越临床试验的进展。为了将时间疗法的发展转化为现实世界的门诊临床场景，对患者内部时间进行个性化表征和分析至关重要。在这里，我们描述了可穿戴技术的最新进展，这些技术能够实时高分辨率地跟踪昼夜节律和亚昼夜节律。我们讨论如何将可穿戴数据集成到包括系统建模和机器学习在内的分析平台中，为个性化自适应时间疗法铺平道路。
Chronotherapy is a pharmaceutical intervention that considers the patient's internal circadian time to adjust dosing time. Although it can dramatically improve drug efficacy and reduce toxicity, the large variability in internal time across and within individuals has prevented chronotherapies from progressing beyond clinical trials. To translate chronotherapy developments into a real-world outpatient clinical scenario, a personalized characterization and analysis of a patient's internal time is essential. Here, we describe recent advances in wearable technology that enable real-time high-resolution tracking of circadian and ultradian rhythms. We discuss how integrating wearable data into analysis platforms including systems modeling and machine learning can pave the way toward personalized adaptive chronotherapy.