Biomedical Network Science Lab
Welcome to the Biomedical Network Science Lab!
The Biomedical Network Science (BIONETS) lab investigates molecular disease mechanisms using techniques from network science, combinatorial optimization, and artificial intelligence. We develop algorithms and tools to mine multi-omics data for such mechanisms and to individuate novel strategies for mechanistically grounded drug repurposing and causally effective treatments of complex diseases. We also develop privacy-preserving decentralized biomedical AI solutions, which enable cross-institutional studies on sensitive data.
We are happy to announce that our new method for robust disease module mining based on enumeration of diverse prize-collecting Steiner trees has been published in Bioinformatics.
Our Flimma tool for privacy-preserving federated differential gene expression analysis has now been published in Genome Biology.
We are happy to announce that our network-based drug repurposing and disease mechanism mining platform NeDRex has appeared in Nature Communications.
Jana is a MSc Medical Engineering student at FAU. On November 1, she joined the BIONETS lab as a student assistant.
David was awarded as best PhD student of the 2015 to 2019 cohort by the Faculty of Computer Science of the Free University of Bozen-Bolzano.