Andreas Maier

This paper introduces a Nextflow pipeline to evaluate disease module detection methods, showing variability in results due to method, network, and seed differences.

NetMedGPT is a transformer-based foundation model trained on biomedical knowledge graphs to predict drug-disease associations and support drug repurposing, outperforming specialized models in multiple tasks.

The paper introduces NeEDL, a network medicine-based method for detecting higher-order epistatic interactions in complex diseases, showing improved statistical significance and applicability across eight diseases.