Dr. Jorge Abreu-Vicente

Open-source platform for biomedical application of large language models. Published in Nature Biotechnology (2025). Democratizing AI in biomedical research through transparent, customizable conversational interfaces with RAG, knowledge graph integration, and local LLM support.

The largest Named Entity Recognition (NER) and Named Entity Linking (NEL) dataset in biomedical sciences. Integrating AI-ready curation directly into the publishing workflow at EMBO Press. Paper approved for publication in Bioinformatics (Oxford University Press).

Creating a semantic atlas of all biomedical knowledge using novel self-supervised learning (Barlow Twins, VICReg) to map 35+ million papers beyond citations and impact factors. Building comprehensive knowledge landscapes using graph databases, knowledge graphs, and semantic embeddings.

A science-backed personal journey helping others overcome panic attacks and anxiety through lived experience. Currently seeking publisher. Combining autobiographical chapters with evidence-based techniques for recovery.

Discovery of large-scale filamentary structures forming a galactic skeleton, challenging theoretical models and revealing key insights into star formation at galactic scales. Published in Astronomy & Astrophysics.

First systematic study of density distribution in molecular clouds across the Galactic plane, revealing the roles of turbulence and gravity in star formation. Published in Astronomy & Astrophysics.

Innovative recalibration of Herschel and Planck telescope data achieving unparalleled precision in mapping molecular cloud temperature and density across the Galactic plane. Published in Astronomy & Astrophysics.