Author: David Blumenthal

In this three-year project, we will develop a network-based software platform for dynamic and explorative analysis of of the CHRIS cohort data. The project will be carried out in collaboration with TUM, Eurac Research, and UNIBZ.

Together with partners from TUM and University of Hamburg, we will develop dimensionality reduction techniques for scRNA-seq data based on inference of differential gene regulatory network. The new methods will be used to investigate CD4 helper T cell exhaustion, a limiting factor in immunotherapy.

Klaudia's poster presentation of our recently published systems medicine validation tool DIGEST won the best poster award at GCB 2022.

Our paper "Querying Temporal Anomalies in Healthcare Information Systems and Beyond" won the best paper award at ADBIS 2022!

Our online tool for in silico validation of systems medicine hypotheses has just been published in Briefings in Bioinformatics.

DIGEST is a systems medicine tool for the in silico validation of gene and disease sets, clusterings, and subnetworks w.r.t. genetic and functional coherence. It is available as a web service, as a Python package, and via a REST API.

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

We are happy to announce that our paper on how to use enumeration of diverse minimum-cost perfect and error-correcting bipartite matchings for robust data matching has been published in Information Sciences.

Our ICDM 2021 paper on privacy-preserving federated principle component analysis for genome-wide association studies is now available in IEEE Xplore.

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