BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Biomedical Mathematics Group - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Biomedical Mathematics Group
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Seoul
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20250101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20260123T100000
DTEND;TZID=Asia/Seoul:20260123T120000
DTSTAMP:20260422T162157
CREATED:20260116T013712Z
LAST-MODIFIED:20260119T002842Z
UID:12136-1769162400-1769169600@www.ibs.re.kr
SUMMARY:A wearable-based aging clock associates with disease and behavior - Myna Lim
DESCRIPTION:In this talk\, we discuss the paper\, “A wearable-based aging clock associates with disease and behavior” by A. C. Miller et al.\, Nature Comm\, 2025. \nAbstract  \nAging biomarkers play a vital role in understanding longevity\, with the potential to improve clinical decisions and interventions. Existing aging clocks typically use blood\, vitals\, or imaging collected in a clinical setting. Wearables\, in contrast\, can make frequent and inexpensive measurements throughout daily living. Here we develop PpgAge\, an aging clock using photoplethysmography at the wrist from a consumer wearable. Using the Apple Heart & Movement Study (n = 213\,593 participants; >149 million participant-days)\, our observational analysis shows that this non-invasive and passively collected aging clock accurately predicts chronological age and captures signs of healthy aging. Participants with an elevated PpgAge gap (i.e.\, predicted age greater than chronological age) have significantly higher diagnosis rates of heart disease\, heart failure\, and diabetes. Elevated PpgAge gap is also a significant predictor of incident heart disease events (and new diagnoses) when controlling for relevant risk factors. PpgAge also associates with behavior\, including smoking\, exercise\, and sleep. Longitudinally\, PpgAge exhibits a sharp increase during pregnancy and concurrent with certain types of cardiac events.
URL:https://www.ibs.re.kr/bimag/event/mapping-the-genetic-landscape-across-14-psychiatric-disorders-myna-lim/
LOCATION:B232 Seminar Room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Journal Club
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
END:VCALENDAR