The research group AI & Data Science in the business area Bioinformatics focuses on the development of ML algorithms for applications in the pharma- and biotech industry:
- Reconstruction of biological systems
- Prioritization of drug targets
- Precision medicine (the right drug for the right patient)
- Simulation of synthetic cohorts and studies
Furthermore, since many years ML models are applied for information extraction from biomedical literature, specifically in the research group Software and Scientific Computing in the business area Bioinformatics.
Exemplary projects and our role:
- ADIS
Coordinator, ML-Methods for earlier diagnosis of Alzheimer’s Disease
- AIOLOS
ML-Methods for earlier detection and monitoring of pandemic situations
- DIGIPD
Coordinator, ML-Methods for diagnosis, monitoring and prognosis of Parkinson’s Disease
- The Virtual Brain Cloud
ML-Modells for modeling and simulation of Alzheimer‘s and Parkinson’s Disease trajectories
- RADAR-AD
ML-Models for better diagnosis of Alzheimer’s Disease
- NFDI4Health
ML-Methods for generation of privacy preserving synthetic patient data
- COPERIMOplus (finished)
ML-based risk models for COVID-19