Wearable technology and systems modeling for personalized chronotherapy

Research output: Contribution to journalArticlepeer-review

Standard

Wearable technology and systems modeling for personalized chronotherapy. / Kim, Dae Wook; Zavala, Eder; Kim, Jae Kyoung.

In: Current Opinion in Systems Biology, Vol. 21, 25.07.2020, p. 9-15.

Research output: Contribution to journalArticlepeer-review

Harvard

APA

Vancouver

Author

Bibtex

@article{225d9b35ec714d8cb25078140887e824,
title = "Wearable technology and systems modeling for personalized chronotherapy",
abstract = "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.",
keywords = "Chronotherapy, Circadian medicine, Circadian rhythms, Machine learning, Mathematical model, Personalized medicine, Systems pharmacology model, Ultradian rhythms, Wearables",
author = "Kim, {Dae Wook} and Eder Zavala and Kim, {Jae Kyoung}",
year = "2020",
month = jul,
day = "25",
doi = "10.1016/j.coisb.2020.07.007",
language = "English",
volume = "21",
pages = "9--15",
journal = "Current Opinion in Systems Biology",
issn = "2452-3100",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Wearable technology and systems modeling for personalized chronotherapy

AU - Kim, Dae Wook

AU - Zavala, Eder

AU - Kim, Jae Kyoung

PY - 2020/7/25

Y1 - 2020/7/25

N2 - 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.

AB - 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.

KW - Chronotherapy

KW - Circadian medicine

KW - Circadian rhythms

KW - Machine learning

KW - Mathematical model

KW - Personalized medicine

KW - Systems pharmacology model

KW - Ultradian rhythms

KW - Wearables

UR - http://www.scopus.com/inward/record.url?scp=85089279832&partnerID=8YFLogxK

U2 - 10.1016/j.coisb.2020.07.007

DO - 10.1016/j.coisb.2020.07.007

M3 - Article

VL - 21

SP - 9

EP - 15

JO - Current Opinion in Systems Biology

JF - Current Opinion in Systems Biology

SN - 2452-3100

ER -