In everyday clinical practice, doctors make difficult decisions every day that have an impact on life and death. Machine learning tools can help them to make the right decisions faster and more precisely and thus actively influence patients' lives. At #Hack4Surgery, the teams immerse themselves in the possibilities of digital surgery: they work on solutions for prediction models and use real data from the UKB Emergency Center as a basis. For example, the aim is to better predict whether emergency surgery is necessary for certain symptoms, such as abdominal pain. The hackathon offers a unique opportunity to deal with real medical issues and make valuable contacts at the interface of medicine and modeling.
After an input on the challenge, the participants work in teams and are supported by experts from Boster and the Bonn-Aachen International Center for Information Technology (b-it) on their solution approaches. Participants will also be given insider insights into the laboratories and working environments at Boster, which specializes in digital surgery and medical robotics. The best three teams will then pitch their results. After the award ceremony, there will be an opportunity to exchange ideas and network at the final get-together.
The offer is aimed at Master's students and junior researchers at the University of Bonn from the fields of machine learning and modeling, especially from computer science and life science informatics. Participation is possible in groups of 2 to 3 people. Register by May 30th!