22.09.2025
Predicting Health With AI - With Researcher Simon Schallmoser
Research Film
How can AI predict medical conditions and personalize treatments? Simon Schallmoser, researcher at LMU and MCML, uses machine learning to forecast health risks and optimize care for patients based on their individual profiles.
His work includes a system that detects low blood sugar in diabetic drivers by analyzing their driving behavior — helping prevent accidents before they happen. This research is paving the way for more personalized, proactive, and safer healthcare.
This video is part of the project KI Trans, an initiative in collaboration with TüftelLab and Uta Hauck-Thum from Ludwig-Maximilians-Universität München, focused on equipping teachers with the essential skills to navigate AI in schools. The project is funded by the Bundesministerium für Forschung, Technologie und Raumfahrt as part of DATIpilot.
©MCML
22.09.2025
Related
19.09.2025
MCML Researchers With 24 Papers at MICCAI 2025
28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025). Daejeon, Republic of Korea, 23.09.2025 - 27.09.2025
15.09.2025
Robots Seeing in the Dark - With Researcher Yannick Burkhardt
Yannick Burkhardt erforscht Event-Kameras, die Robotern ermöglichen, blitzschnell zu reagieren und auch im Dunkeln zu sehen.
12.09.2025
MCML Researchers With Eight Papers at ECML-PKDD 2025
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML-PKDD 2025). Porto, Portugal, 15.09.2025 - 19.09.2025
08.09.2025
Niki Kilbertus Receives Prestigious ERC Starting Grant
Niki Kilbertus wins ERC Starting Grant for his DYNAMICAUS project on causal AI and scientific modeling.
