---
title: CliniGuard Laboratory NER
emoji: 🧪
colorFrom: red
colorTo: gray
sdk: gradio
sdk_version: 6.20.0
app_file: app.py
short_description: Clinical lab result entity extraction with Bio_ClinicalBERT
python_version: "3.12"
startup_duration_timeout: 30m
---

# CliniGuard Laboratory NER

Interactive demo of [genzeonplatform/cliniguard-laboratory-ner](https://huggingface.co/genzeonplatform/cliniguard-laboratory-ner),
a Bio_ClinicalBERT token-classification model that extracts **10 laboratory result entity categories**
(test names, values, units, reference ranges, abnormality flags, specimen types, dates, LOINC codes,
panels, and status) from unstructured clinical text.

Paste a lab report excerpt, progress note, or discharge summary, and the model highlights each
entity in place and lists it in a structured table alongside its confidence score.

Built by Genzeon Platforms for healthcare AI pipelines — lab result extraction, critical value
detection, lab trending, and LOINC mapping support.