BioBERT Disease NER (NCBI)

huggingface
Text & Chat

BioBERT fine-tuned on the NCBI Disease corpus for disease-name recognition. Given biomedical text it tags spans that mention a disease or condition, using BIO labels. Useful for pulling diagnoses and disease mentions out of abstracts, case reports and clinical notes.

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TL;DR·Last updated June 24, 2026

BioBERT Disease NER (NCBI) is text & chat AI model from huggingface, priced at €0.000 per 1M input tokens with a unknown context window.

About this model

This token classifier starts from dmis-lab BioBERT, which was pretrained on PubMed abstracts and PMC full-text articles, then fine-tunes it on the NCBI Disease corpus. It marks disease mentions in running text with begin and inside tags, making it a focused tool for disease normalization, literature mining and building diagnosis indexes from unstructured biomedical text.
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0.7

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Pricing

Price per Generation
Per generation€1.00

API Integration

Use our OpenAI-compatible API to integrate BioBERT Disease NER (NCBI) into your application.

Install
npm install railwail
JavaScript / TypeScript
import railwail from "railwail";

const rw = railwail("YOUR_API_KEY");

// Simple — just pass a string
const reply = await rw.run("biobert-ncbi-disease-ner", "Hello! What can you do?");
console.log(reply);

// With message history
const reply2 = await rw.run("biobert-ncbi-disease-ner", [
  { role: "system", content: "You are a helpful assistant." },
  { role: "user", content: "Explain quantum computing simply." },
]);
console.log(reply2);

// Full response with usage info
const res = await rw.chat("biobert-ncbi-disease-ner", [
  { role: "user", content: "Hello!" },
], { temperature: 0.7, max_tokens: 500 });
console.log(res.choices[0].message.content);
console.log(res.usage);
Specifications
Price
€1.00
Developer
huggingface
Category
Text & Chat
Supported Formats
text
Tags
medical
research
nlp
huggingface
ner
token-classification
biobert
disease
ncbi

Frequently asked questions

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