This demo server relates to the publication Hoffmann et al. "Data integration between clinical research and patient care: a framework for context-depending data sharing and in silico predictions", submitted for publication to PLOS Digital Health (2022). This demo prototype examplifies how data analytic results, particularly in silico predictions, can be seamlessly integrated into workflows for simultaneous use in research an clinical care routines in aspecific hospital setting.
Institute for Medical Informatics and Biometry [homepage]
Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden
If you have any questions or recommendations please contact Katja Hoffmann.
The demo server is provided to the research community in good faith without guarantees of any kind.