Prompts, datasets, and scripts for evaluating frontier LLMs as biomedical text-mining annotators, including instruction retrieval, two-step inference, and synthetic-data distillation.
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Updated
Jul 8, 2026 - Python
Prompts, datasets, and scripts for evaluating frontier LLMs as biomedical text-mining annotators, including instruction retrieval, two-step inference, and synthetic-data distillation.
Graph Neural Network (GraphSAGE) for Chemical-Disease Relation prediction on BioCreative BC5CDR dataset.
Biomedical NER using LLMs
NER system for extracting chemical and disease entities from clinical texts. Compares BioBERT, DeBERTa, and BiLSTM-CRF models on BC5CDR corpus with detailed performance analysis.
Analysis of Reddit posts from r/Anxiety to explore symptoms, co-mentioned conditions, and emotional narratives using NLP methods. Modular Colab notebooks provided for reproducible research.
End-to-end biomedical information extraction pipeline distilling frontier LLM reasoning into secure, local PubMedBERT models with post-hoc XAI.
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