BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//wp-events-plugin.com//7.2.2.1//EN
TZID:America/Toronto
X-WR-TIMEZONE:America/Toronto
BEGIN:VEVENT
UID:124@womenshealthresearchcluster.com
DTSTART;TZID=America/Vancouver:20220926T100000
DTEND;TZID=America/Vancouver:20220926T110000
DTSTAMP:20250107T153419Z
URL:https://womenshealthresearchcluster.com/events/aug-2-2022-big-data-app
 roach-womens-health-research/
SUMMARY:A Big-Data Approach to Women's Health Research
DESCRIPTION:\n\nSeminar Title: A Big-Data Approach to Women's Health Resea
 rch\nPresenter: Dr. Ann-Marie de Lange\, SNSF Ambizione Fellow at Lausann
 e University Hospital\, Switzerland\n\nDr. de Lange has background as a cl
 inical psychologist with a PhD in neuroimaging and brain plasticity from t
 he Center for Lifespan Changes in Brain and Cognition\, University of Oslo
 . She studied brain ageing in large-scale population cohorts as a postdoct
 oral fellow at the University of Oxford\, UK\, and in 2021 she established
  the research group FemiLab at Lausanne University Hospital (CHUV) in Swit
 zerland. FemiLab focuses on how factors such as reproductive history and e
 ndocrine ageing relate to brain ageing trajectories and disease risk\, how
  these factors interact with genotypes and common genetic variation\, and 
 how these associations may contribute to epidemiological sex differences i
 n risk and disease.\n\nTalk Summary: The emergence of big\, open-access d
 atasets offers exciting new opportunities in neuroimaging and population-h
 ealth research. UK Biobank contains in-depth genetic and health data from 
 half a million participants\, with information on reproductive history\, m
 enopause\, and hormone usage. Population-based studies can contribute to a
  more complete understanding of women's brain health\, but the complexity 
 of large and comprehensive datasets also poses challenges. In this talk\, 
 Dr. de Lange will share her experience with using UK Biobank data to addre
 ss women’s health related research questions\, including challenges enco
 untered in big-data analyses.\n\n&nbsp\;
ATTACH;FMTTYPE=image/jpeg:https://womenshealthresearchcluster.com/wp-conte
 nt/uploads/2024/11/website_event_photo-9.jpg
CATEGORIES:Women’s Health Seminar Series
END:VEVENT
BEGIN:VTIMEZONE
TZID:America/Vancouver
X-LIC-LOCATION:America/Vancouver
BEGIN:DAYLIGHT
DTSTART:20220313T030000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
END:DAYLIGHT
END:VTIMEZONE
END:VCALENDAR