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TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20250822T115809Z
LOCATION:Room 5.2D11
DTSTART;TZID=Europe/Stockholm:20250617T120000
DTEND;TZID=Europe/Stockholm:20250617T123000
UID:submissions.pasc-conference.org_PASC25_sess133_msa222@linklings.com
SUMMARY:Commonly Sharing Patient Data - An Ethical Dilemma Between Privacy
  Rights and Promoting Well-Being for All
DESCRIPTION:Christian Bolliger (ETH Zurich)\n\nData mining and artificial 
 intelligence (AI) have become an increasingly used method of medical resea
 rch in recent years. The primary goal is to identify patterns that can pre
 vent diseases, enhance and accelerate diagnostic as well as therapeutic in
 terventions. This aligns with the United Nations Sustainable Development G
 oal 3: "Ensure healthy lives and promote well-being for all at all ages". 
 Every medical appointment generates data that can be valuable for data-dri
 ven medical research. The quality of this data improves with number of ind
 ividuals and the data points per individual. Commonly sharing patient data
  across medical institutions could advance data driven medical research. H
 owever, this approach raises concerns about individual autonomy and privac
 y. Addressing this ethical conflict is crucial and far from being trivial.
  How can a widely accepted balance between ethical principals be found? Is
  the current practice of obtaining informed consent from patients sufficie
 nt to protect their privacy in the face of AI-driven data analysis?\n\nDom
 ain: Climate, Weather, and Earth Sciences, Applied Social Sciences and Hum
 anities\n\nSession Chairs: Jay Lofstead (Sandia National Laboratories, Uni
 versity of New Mexico) and Jakob Luettgau (INRIA)\n\n
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