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 are happy to announce that our paper "Querying Temporal Anomalies in Healthcare Information Systems and Beyond" has been accepted at ADBIS 2022.