Anastasios Nentidis

KG-Bench benchmarks graph neural networks for drug repurposing using the Open Targets dataset, finding TransformerConv achieves the highest performance.

This study maps AI use in Greek Life Sciences through bibliometric analysis and a national survey, revealing strengths in methodology and barriers in data and resources.

The paper introduces BioASQ-QA, a biomedical QA dataset with structured and unstructured data, including exact and ideal answers for multi-document summarization and IR experiments.

CRISPRedict provides accurate and interpretable predictions for CRISPR-Cas9 guide RNA efficiency using a simple linear model, outperforming some existing tools and showing robust performance across different datasets.