Lab profile
About Digital Health & Machine Learning research group
The lab develops Machine Learning and Artificial Intelligence algorithms and novel applications in medicine. They work on models to detect disease patterns in images and molecular data, and statistical models for the quantitative analysis of large cohorts, aiming to revolutionize clinical practice and turn medicine into a data science.
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- StudyU Platform and Clinical N-of-1 TrialsPlatform and app that allow researchers, physicians and citizens to easily design and conduct N-of-1 trials to investigate the effect of digital health interventions on an individual level.
- PIANo-1N-of-1 trial investigating the effect of music on concentration, collecting multiple sensor data for assessing concentration.
- MeMäFImprove women's health with a digitally supported care model for girls and young women with menstrual pain and validate existing and develop novel prognostic clinical prediction models for endometriosis.
- HEALTH-X dataLOFT
- Syreal
- Medical Imaging - Reducing the dependency on expert supervisionIncludes CLASSIFAI for usable active learning for medical image segmentation, self-supervised learning, and generative adversarial networks for medical imaging.
- CovMap - Modeling SARS-Cov infection risk based on GPS dataMethods for modeling SARS-CoV infection risk based on GPS data.
- KI Kompetenzzentrum MittelstandSupporting SMEs to identify use cases for AI technologies in their company.
- GEMINI Summer SchoolFirst GEMINI Summer School on Gender-sensitive Evidence: Methods and Individualized N-of-1 trial Interventions, October 13-17, 2025 at HPI, funded by BMBF.
02 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
03 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- The molecular landscape of hypertrophic cardiomyopathy across disease stages and genotypes.Science translational medicine · 2026
- Design and implementation of PharMe: a mobile application to return pharmacogenomic test results to patients.JAMIA open · 2026
- Deep Shape Regression for Planar Curves with Multimodal Covariates.ArXiv · 2026
04 · Updates
Updates and lab news
News and events from the lab’s own site.
- October 2025 - Digital Health Partnership WorkshopEventOct 6, 2025
05 · Official presence
Lab sources and channels
The lab’s own pages and accounts.
06 · Related
Related labs and centers
Labs at the same institution and labs working on similar topics.