BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Plone.org//NONSGML plone.app.event//EN
X-WR-TIMEZONE:Europe/Berlin
BEGIN:VEVENT
SUMMARY:Hackathon #Hack4Surgery: Emergency Room Decision-Making with ML
DTSTART;VALUE=DATE:20250606
DTEND;VALUE=DATE:20250607
DTSTAMP:20260418T012449Z
UID:d6cad9eb67194c08bfe653f3e9691378@www.informatik.uni-bonn.de
CATEGORIES:events
CREATED:20241203T102037Z
DESCRIPTION:Let’s help to improve surgical decisions in the emergency ro
 om and save lives with machine learning!\n\nEvery day\, doctors make criti
 cal decisions that can determine life and death. With your machine learnin
 g skills\, you can help them make the right decisions faster and more accu
 rately\, thus actively influencing the lives of patients. Our goal is to d
 evelop innovative solutions that improve the quality of treatment and the 
 chances of survival for patients.\n\nYou will work on a specific challenge
  with the support of experts from Bonn Surgical Technology Center (BOSTER)
  and B-IT. You will develop prediction models based on real data from the 
 UKB emergency room\, for example to predict whether emergency surgery is n
 eeded for certain symptoms such as abdominal pain.\n\nThe hackathon offers
  a unique opportunity to work on real medical problems and make valuable c
 ontacts at the interface of medicine and modeling.\n\nFind the agenda here
 : www.uni-bonn.de/en/hack4surgery
LAST-MODIFIED:20250905T225811Z
URL:https://www.informatik.uni-bonn.de/en/news/events/2025-boster-hackatho
 n
END:VEVENT
END:VCALENDAR