README.md

GLiNER-BioMed PICO Extractor

This Hugging Face Space extracts PICO elements (Population, Intervention, Comparison, Outcome) from:

• Raw biomedical abstracts
• .nbib reference files

Model

Powered by Ihor/gliner-biomed-bi-small-v1.0 — a compact BERT-like NER model trained for biomedical text using synthetic annotations.

Features

• ✅ Zero-shot extraction using natural language entity descriptions
• 📄 NBIB parser for PubMed export files
• ⚡ Lightweight: deploys on CPU-only Spaces

How to Use

1. Paste a biomedical abstract in the textbox → Get labeled PICO entities.
2. Upload a .nbib file → Get per-abstract PICO extractions.

Dependencies

• gradio
• gliner
• torch
• transformers

---

Inspired by the needs of evidence-based medicine and large-scale systematic reviews.