News

Our review paper on privacy-preserving AI techniques in biomedicine has been published in Methods of Information in Medicine.

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.

The October issue of the MEDICA magazine features an interview with David on the AIMe registry for AI in biomedicine (in German).

Surya studied computer engineering at Arizona State University. On September 1, he joined the BIONETS lab as a PhD candidate.

Our paper "Federated Principal Component Analysis for Genome-Wide Association Studies" has been accepted at ICDM 2021.

AIMe is a community-driven reporting platform for biomedical AI systems. It aims to enhance the accessibility, reproducibility and usability of biomedical AI models, and allows future revisions by the community: https://aime-registry.org.