activity
20202026
most citedPrivacy-preserving Artificial Intelligence Techniques in Biomedicine

110 citations · 125 across the 7 of their papers we have counts for

collaborators

7 papers

q-bio.MN2026

Are You Learning Biological Signal or Shortcuts? Auditing and Mitigating Bias in Protein-Protein Interaction Datasets

Judith Bernett, Anton Spannagl, Joel Ås +2

Protein-protein interaction (PPI) databases do not faithfully reflect biological realities. Instead, they are influenced by study and technical biases that distort certain protein…

cs.AI2025

Conversational No-code, Multi-agentic Disease Module Identification and Drug Repurposing Prediction with ChatDRex

Simon Süwer, Kester Bagemihl, Sylvie Baier +5

Repurposing approved drugs offers a time-efficient and cost-effective alternative to traditional drug development. However, in silico prediction of repurposing candidates is challe…

q-bio.QM2023★ 4 cited

Drugst.One -- A plug-and-play solution for online systems medicine and network-based drug repurposing

Andreas Maier, Michael Hartung, Mark Abovsky +36

In recent decades, the development of new drugs has become increasingly expensive and inefficient, and the molecular mechanisms of most pharmaceuticals remain poorly understood. In…

cs.LG2021★ 1 cited

The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond

Julian Matschinske, Julian Späth, Reza Nasirigerdeh +29

Machine Learning (ML) and Artificial Intelligence (AI) have shown promising results in many areas and are driven by the increasing amount of available data. However, this data is o…

q-bio.QM2020★ 2 cited

Flimma: a federated and privacy-preserving tool for differential gene expression analysis

Olga Zolotareva, Reza Nasirigerdeh, Julian Matschinske +9

Aggregating transcriptomics data across hospitals can increase sensitivity and robustness of differential expression analyses, yielding deeper clinical insights. As data exchange i…

cs.LG2020★ 8 cited

Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments

Reza Nasirigerdeh, Mohammad Bakhtiari, Reihaneh Torkzadehmahani +4

Federated learning has faced performance and network communication challenges, especially in the environments where the data is not independent and identically distributed (IID) ac…

cs.CR2020★ 110 cited

Privacy-preserving Artificial Intelligence Techniques in Biomedicine

Reihaneh Torkzadehmahani, Reza Nasirigerdeh, David B. Blumenthal +22

Artificial intelligence (AI) has been successfully applied in numerous scientific domains. In biomedicine, AI has already shown tremendous potential, e.g. in the interpretation of…