Gabriel Tarrason Risa

Clinical Trial and Ontology-Derived Positive and Negative Benchmark Datasets for Drug Repurposing Across Rare Diseases

The paper introduces two benchmark datasets for drug repurposing across rare diseases: a positive dataset from clinical trials and a negative dataset from disease ontologies, enabling evaluation of computational models for disease-drug associations.

Representation Learning of Human Diseases for Indication Expansion and Investment Decisions

This paper introduces Dis2Vec, a representation learning framework for human diseases that enables therapeutic transferability prediction and disease clustering, enhancing translational research efficiency.

NanoJ: a high-performance open-source super-resolution microscopy toolbox

NanoJ provides a high-performance open-source toolbox for super-resolution microscopy, offering tools for data alignment, image reconstruction, quality assessment, structural modeling, and sample control.