Bence Ágg

This paper develops interpretable adverse event vector representations using contrastive learning for pharmacovigilance, outperforming existing methods in drug-event causality prediction.

Infarctsize-AI reduces time and inter-observer variability in infarct size analysis of rodent myocardial infarction studies using deep learning.

The paper evaluates 24 network-based methods for predicting protein-protein interactions across five interactomes, identifies top-performing methods, and validates their predictions experimentally.