Hasin Rehana

This paper fine-tunes large language models for joint biomedical named entity recognition and relation extraction, achieving improved performance across multiple tasks and datasets.

Ignet 2.0 and Vignet provide ontology-driven platforms for gene interaction discovery, vaccine network analysis, and AI-assisted knowledge retrieval from biomedical literature.

The paper introduces the Vaccine Ontology (VO), a standardized framework for representing vaccines and related data, enhancing data integration and AI research.

This study uses large language models and ontologies to extract and explain protein-protein interactions from scientific literature, showing improved performance with parameter-efficient fine-tuning.