BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//SciLifeLab - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:SciLifeLab
X-ORIGINAL-URL:https://www.scilifelab.se
X-WR-CALDESC:Events for SciLifeLab
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20240331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20241027T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20251017T100000
DTEND;TZID=Europe/Stockholm:20251017T110000
DTSTAMP:20260430T050824
CREATED:20251008T090307Z
LAST-MODIFIED:20251008T090308Z
UID:10001633-1760695200-1760698800@www.scilifelab.se
SUMMARY:Training AI models to predict a person’s health status and biological age from DNA methylation data
DESCRIPTION:Speaker: Maria Lerm\, Linköping university. \n\n\n\nNBIS and SciLifeLab Data Centre arrange an open SciLifeLab AI Seminar Series aimed at knowledge-sharing about Artificial Intelligence and applications in the Life Science community. The seminar series is open to everyone. The seminar is run over Zoom on the third Friday of the month during academic terms\, typically between 10 and 11 am\, with approx. 45 min presentation and 15 min discussion. \n\n\n\nAbstractPrecision medicine has long been synonymous with genomics\, yet this narrow view overlooks the profound influence of an individual’s lifestyle\, environmental exposures\, infections\, and other stressors on disease risks of common diseases. In fact\, the lasting epigenetic marks caused by these stressors predict disease risks far more powerfully than identification of disease-predisposing genetic variants. \n\n\n\nIn this talk I will tell you about our project in which we train AI models on rich health data and DNA methylome data to make predictions regarding a persons biological age as well as cardiovascular\, metabolic and lung health. I will reveal how the unique explainability built into our AI architecture can find causality in cellular processes contributing to ageing on an individual basis. \n\n\n\nContactFor questions\, contact bengt.sennblad@scilifelab.se \n\n\n\n\nZoom link
URL:https://www.scilifelab.se/event/training-ai-models-to-predict-a-persons-health-status-and-biological-age-from-dna-methylation-data/
LOCATION:
END:VEVENT
END:VCALENDAR