
CoSyBio applies computational systems biology to understand diseases and advance personalized medicine. It uses quantum algorithms, large-language models, machine learning, deep learning, graph neural networks, and federated learning. As the Institute for Computational Systems Biology at the University of Hamburg, it focuses on network and systems biology to redefine disease mechanisms and enable drug repurposing. The work spans bioinformatics, systems medicine, precision medicine, and privacy-by-design infrastructure for federated AI. Key researchers collaborate to provide scalable, privacy-preserving AI tools for big data analytics.

CoSyBio applies computational systems biology to understand diseases and advance personalized medicine. It uses quantum algorithms, large-language models, machine learning, deep learning, graph neural networks, and federated learning. As the Institute for Computational Systems Biology at the University of Hamburg, it focuses on network and systems biology to redefine disease mechanisms and enable drug repurposing. The work spans bioinformatics, systems medicine, precision medicine, and privacy-by-design infrastructure for federated AI. Key researchers collaborate to provide scalable, privacy-preserving AI tools for big data analytics.