The L3S is part of the new research project FEDCOV that investigates the pathogenesis of long-/post-COVID by using huge amounts of data and new AI methods. The aim is to gain a better understanding of the disease and its symptoms.
Post-COVID still affects millions of people worldwide, but the mechanisms are still poorly understood. To gain a deeper insight into the development of the often very different symptoms, FEDCOV will use long/post-COVID datasets to develop federated learning approaches. In addition, new models for individual and early prediction of long/post-COVID will contribute to improved clinical diagnosis and individualised treatment.
Project partners include:
– Hannover Medical School / Helmholtz Centre for Infection Research
– Hannover Medical School / Hannover Unified Biobank
– The Pennsylvania State University (USA)
– Robert Koch Institute (Germany)
To achieve its goals, FEDCOV will align data of different cohorts, harmonise these datasets and finally construct long-/post-COVID phenotypes generated by federated learning.
Launched in January 2025, the project will run for two years. Funding comes from the German Federal Ministry of Education and Research (BMBF).
Click here to visit the project website.
