Author: David Blumenthal

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.

ROBUST is a Python tool which uses enumeration of diverse prize-collecting Steiner trees to compute disease modules that are robust to random bias.

Our Flimma tool for privacy-preserving federated differential gene expression analysis has now been published in Genome Biology.

Fever-PCA (federated principal component analysis for vertically partitioned data) is a federated, privacy-preserving tool for principal component analysis, including patient stratification and dimensionality reduction.

Prof. Dr. Anil Wipat

We are happy to announce that our network-based drug repurposing and disease mechanism mining platform NeDRex has appeared in Nature Communications.

Flimma is a privacy-preserving hybrid federated tool for differential gene expression analysis. Flimma by design preserves the privacy of the local data, since the expression profiles never leave the local execution sites and shared meta-parameters are protected via secure multi-party computation.

Jana is a MSc Medical Engineering student at FAU. On November 1, she joined the BIONETS lab as a student assistant.

NeDRex (network-based drug repurposing and exploration) is an interactive network medicine platform for disease module identification and drug repurposing.