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
Related
21.05.2026
Björn Eskofier Featured in Heise Online
Björn Eskofier participated in the panel discussion “How Research Scientists Build Health AI” at the Digital Health Innovation Forum.
11.05.2026
Cordelia Schmid Featured in Süddeutsche Zeitung
Cordelia Schmid, a member of the MCML Advisory Board, was recently featured in Süddeutsche Zeitung for her work in computer vision and robotics.
11.05.2026
Research Stay at Imperial College London
Jun Li joined a research stay at Imperial College London via MCML AI-X, exploring medical AI, multimodal models, and uncertainty.
