Tool
Saranyaks06/BioGPT-KG-: BioGPT
The exponential proliferation of biomedical literature presents both a challenge and an opportunity for drug discovery, particularly in identifying latent drug-disease associations that remain obscured within unstructured text. This study proposes a novel NLP pipeline integrating BioGPT and Galactica with dynamic Knowledge Graph (KG) reasoning. By employing domain-optimized NER, context-aware relation extraction, and graph-based inference, we demonstrate a robust methodology for automated hypothesis generation in drug repurposing. Proposed Pipeline Our framework operates in three distinct phases: Domain-Optimized NER: Utilizing BioGPT for pre
Saranyaks06
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