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mohammedAyesh25/testing_pico

sourceHugging Faceupdated 1y agoView on Hugging Face
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App README

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. 1.Paste a biomedical abstract in the textbox → Get labeled PICO entities.
  2. 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.