machine learning in medicine lab
Welcome to the Machine Learning in Medicine lab at the University of Bern led by Prof. Lisa Koch. We are part of the Department of Diabetes, Endocrinology, Nutritional Medicine, and Metabolism (UDEM) at the medical faculty, and are affiliated with the Diabetes Center Berne. Our core goal is to develop certifiably safe, reliable and effective data science tools to improve diabetes care and patient care generally. More broadly, we are interested in trustworthy AI methods for biomedical data analysis, including wearable and biomedical images.
news
| Aug 27, 2025 | Two papers accepted for oral presentation at the MICCAI satellite events! Trung-Dung Hoang will present A real-time digital twin for type 1 diabetes using simulation-based inference at the Digital Twin for Healthcare (DT4H) workshop, and Tim Flühmann will present Label-free estimation of clinically relevant performance metrics under distribution shifts at the UNSURE workshop. Congratulations to the team! |
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| Aug 27, 2025 | A new blog post on the project of Subgroup Discovery is live! It comes with an interactive visualization so you can explore the data and results yourself. |
| May 20, 2025 | As part of the CDHI Lecture Series Digital Health Forum, Lisa gave a keynote titled “Explainable AI in medical imaging: promises, a reality check and ways forward”. The recording will be available soon. |
| May 12, 2025 | Our paper Subgroup Performance Analysis in Hidden Stratifications got accepted at MICCAI 2025 - congratulations Alceu Bissoto and team! |
| Mar 13, 2025 | Looking for a master thesis project? Check out our new collaborative projects with the Max Planck Institute for Intelligent Systems in Germany, or Ypsomed Diabetes Care here in Bern! |