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SUMMARY:Towards Digital Endpoints of Quality of Life - Katarzyna Wac\, Uni
 versity of Geneva
DTSTART:20240430T150000Z
DTEND:20240430T160000Z
UID:TALK208162@talks.cam.ac.uk
CONTACT:Cecilia Mascolo
DESCRIPTION:*ABSTRACT*: Quality of life (QoL) is a crucial outcome and end
 point in research\, clinical trials\, and clinical practice\, especially i
 n noncommunicable chronic diseases. The QoL aims to provide valuable infor
 mation for physicians and patients\, potentially aiding in more accurate d
 iagnosis and in identifying more effective treatments. Given the state of 
 the personal technologies miniaturized in our smartphones and a variety of
  wearables\, this outcome should have already been a standard of care. But
  is it? In this talk\, I give an overview of the state of the art in digit
 al endpoints of QoL\, and present some recent examples of my own QoL model
 ing approaches that leverage deep learning\, with insights from social and
  behavioral sciences. I emphasize the importance of mixed methods for desi
 gning and validating these models\, especially prominent in the recent stu
 dy of quantifying sexual health. I discuss the implications for personal t
 echnologies enabling accurate and timely digital endpoints of QoL. \n\n*BI
 O*: Professor Katarzyna Wac\, Ph.D.\, is a Full Professor of Information S
 cience at the University of Geneva in Switzerland\, where she leads the Qu
 ality of Life Technologies lab. She is also an Invited Professor of Health
  Informatics at the Department of Computer Science (DIKU) at the Universit
 y of Copenhagen in Denmark. She has been affiliated with Stanford Universi
 ty and the Stanford Medical Centre since 2013. The QoL lab\, established i
 n 2010\, aims to responsibly leverage daily life data sources to improve t
 he quality of life of all individuals. The QoL lab's research interests in
 clude fundamental and algorithmic problems\, as well as human-centric chal
 lenges related to the assessment and improvement of human behavior\, healt
 h\, and quality of life as they unfold naturally over time and in context.
  Her most recent research project focuses on the design of digital biomark
 ers of sexual health and is conducted in collaboration with Stanford Unive
 rsity.\n\n
LOCATION:Computer Lab\, FW26 and Online
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