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. Finally, we are interested in meta-scientific questions such as reproducibility and the impact of data bias on biomedical AI systems.

We're happy to announce that Anne has received funding from FAU's Emerging Talents Initiative for her project "CAB: Carbon-aware bioinformatics". She'll develop tools to automatically shift CO2-intensive computations to time slots when green energy is available.

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