BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Developing cardiac digital twins at scale - Shuang Qian (King's Co
 llege London)
DTSTART:20240604T092000Z
DTEND:20240604T094000Z
UID:TALK214528@talks.cam.ac.uk
DESCRIPTION:Large-cohort studies using cardiovascular imaging and diagnost
 ic datasets have assessed cardiac anatomy\, function\, and outcomes\, but 
 typically do not reveal underlying biological mechanisms. Cardiac digital 
 twins (CDTs) provide personalised physics- and physiology-constrained in-s
 ilico representations\, enabling inference of multi-scale properties tied 
 to these mechanisms.\nWe developed an automatic pipeline for generating fi
 nite element biventricular heart models from cardiac magnetic resonance im
 ages (CMRs) in the UK biobank. Using this pipeline\, each digital twin can
  be created in only 8 minutes on a standard desktop\, compatible with clin
 ical time scales and enabling large-scale virtual population-based studies
 . We also made a cohort of representative healthy hearts (n=1388)\, catego
 rised by sex\, age and BMI\, out of 54\,000 hearts in the UK biobank. The 
 pipeline and the cohort will be made open to the public soon. Using this p
 ipeline\, we have constructed an initial cohort of 3464 CDTs and personali
 sed their myocardial conduction velocities (CVs) from electrocardiograms (
 ECG).&nbsp\;\nWe found well-known sex-specific differences in QRS duration
  were fully explained by myocardial anatomy\, as CV remained consistent ac
 ross sexes. Conversely\, significant associations of CV with ageing and in
 creased BMI suggest myocardial tissue remodelling. Novel associations were
  observed with left ventricular ejection fraction and mental-health phenot
 ypes\, through a phenome-wide association study\, and CV was also linked w
 ith adverse clinical outcomes.\nOur study highlights the utility of popula
 tion-based CDTs in assessing intersubject variability and uncovering stron
 g links with mental health.\nCo-authors: Devran Ugurlu\, Elliot Fairweathe
 r\, Marina Strocchi\, Laura Dal Toso\, Yu Deng\, Gernot Plank\, Edward Vig
 mond\, Reza Razavi\, Alistair Young\, Pablo Lamata\, Martin Bishop\, Steve
 n Niederer
LOCATION:Seminar Room 1\, Newton Institute
END:VEVENT
END:VCALENDAR