What we do
DIFUTURE Tübingen joined the GO:FAIR PHT Implementation Network in 2018 as a milestone for distributed FAIR analysis. We developed a productive deployment-ready PHT-meDIC solution to achieve the defined goals from the PHT manifesto.
Our architecture and services are fully open source accessible, and demonstrate how modern cloud techniques can be leveraged for complex distributed, privacy-preserving medical data analytics.
Learn more about our current work
We work on several use cases with different partners to evaluate and demonstrate our developed PHT version.
Our current main focus is:
- security methods extensions
- image and genome analysis
Michael studied in his B.Sc cognitive science and finished his M.Sc in computer science in 2021. He works as research assistant at the Institute of Translational Bioinformatics (TBI) and works as technical lead on: security implementation and enabling new methods using the Personal Health Train.
David studied computer science in Tübinen and finished his M.Sc in 2021. He works as a research assistant at the Institute of Translational Bioinformatics on the PHT and Leuko-Expert projects.
Peter studies media informatics (M.Sc) and works for the hospital (UKT) as IT-Worker and is also responsible for the e-learning and survey applications. At TBI he works as a research assistant. He contributes to the following PHT topics: security implementation, UI- designs & applications, backend APIs and microservices.
You are interested to contribute to the PHT project in one of the following ways:
- research questions you want to answer with de-central analysis
- concepts to extend or enable different methods
- code development