Developers

Federated machine learning with a dual graph approach, embedded in a self-sustaining ecosystem, is revolutionising rare disease research: Patient data remains securely on hospital servers and never leaves them - maximising privacy. At the same time, the technology enables everyone from experienced software architects to the passionate mother of an affected child to develop algorithms and contribute to improved diagnostics. This model encourages innovation and collaboration without compromising sensitive healthcare data - a critical step towards faster and more accurate care.

Get Started

We would be delighted if we could arouse your interest! If you or your company would like to get directly involved, please contact Henrik Otterstedt from Dr von Hauner Childrens Hospital: Henrik.Otterstedt@med.uni-muenchen.de.


About the data

Graph Data Model

AMIGO

Advanced Medical Intelligence for Guiding Omics-based Medicine

Create an App on FeatureCloud

Useful Background Knowledge

Last modified March 7, 2025: Feat: Add changes for sub pages (b744392)