Causal Inference and Prediction Models
- Causal inference in prediction models
- Estimating and testing in directed acyclic graphs
Methodology for Innovative Clinical Trial Designs
- Causal inference for N-of-1 trials
- Adaptive N-of-1 trials
- Multimodal N-of-1 trials
- Micro-randomized trials and reinforcement learning agents
StudyU Platform and Clinical N-of-1 Trials
- StudyU platform
- StudyMe app
- Clinical studies running on the StudyU platform
MeMäF
- Improve women's health with a digitally supported care model for girls and young women with menstrual pain
- Validate existing and develop novel prognostic clinical prediction models for endometriosis
Digital Health Apps
- Fetal alcohol spectrum disorder screening
- Animated Alcohol Assessment
Medical Imaging - Reducing the dependency on expert supervision
- CLASSIFAI - Usable Active Learning for medical image segmentation
- Self-Supervised Learning for Medical Imaging
- Generative Adversarial Networks for Medical Imaging
Evaluation of Medical AI
- Computer-aided digital chest radiograph (CXR) interpretation
Statistical Methods for Genetics and Genomics
- Statistical hypothesis testing in deep learning models
- Fast kernel-based genome-wide association tests
- International consortium for integrative genomics prediction (INTERVENE)
Deep probabilistic models
CovMap - Modeling SARS-Cov Infection Risk based on GPS Data
- We are developing methods for the statistical analysis of large biomedical data.
KI Kompetenzzentrum Mittelstand
- Within the Kompetenzzentrum Mittelstand Berlin, we support SMEs to identify use cases for AI technologies in their company (https://gemeinsam-digital.de/)
