Update links and bibtex

README.md

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 # GLiNER-BioMed
 
-The model was presented in the paper [GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition](https://arxiv.org/abs/2504.00676).
+The model was presented in the paper [GLiNER-BioMed: a suite of efficient models for open biomedical named entity recognition](https://doi.org/10.1093/bioinformatics/btag322).
 
 The code is available at [https://github.com/ds4dh/GLiNER-biomed](https://github.com/ds4dh/GLiNER-biomed).
 
 **GLiNER** is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoders (BERT-like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite their flexibility, are costly and large for resource-constrained scenarios.
 
 
-**GLiNER-biomed**, developed in collaboration with [DS4DH](https://www.unige.ch/medecine/radio/en/research-groups/1035teodoro) from the University of Geneva, introduces a specialized suite of efficient open biomedical NER models based on the GLiNER framework. GLiNER-biomed leverages synthetic annotations distilled from large generative biomedical language models to achieve state-of-the-art zero-shot and few-shot performance in biomedical entity recognition tasks.
+**GLiNER-biomed**, developed in collaboration with [DS4DH](https://ds4dh.unige.ch/) from the University of Geneva, introduces a specialized suite of efficient open biomedical NER models based on the GLiNER framework. GLiNER-biomed leverages synthetic annotations distilled from large generative biomedical language models to achieve state-of-the-art zero-shot and few-shot performance in biomedical entity recognition tasks.
 
 ### How to Use
 Install the official GLiNER library with pip:
@@ -120,14 +120,18 @@ Connect with our community on Discord for news, support, and discussion about ou
 If you use GLiNER-biomed models in your work, please cite:
 
 ```bibtex
-@misc{yazdani2025glinerbiomedsuiteefficientmodels,
-      title={GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition}, 
-      author={Anthony Yazdani and Ihor Stepanov and Douglas Teodoro},
-      year={2025},
-      eprint={2504.00676},
-      archivePrefix={arXiv},
-      primaryClass={cs.CL},
-      url={https://arxiv.org/abs/2504.00676}, 
+@article{yazdani2026gliner,
+    author = {Yazdani, Anthony and Stepanov, Ihor and Teodoro, Douglas},
+    title = {{GLiNER-BioMed}: a suite of efficient models for open biomedical named entity recognition},
+    journal = {Bioinformatics},
+    volume = {42},
+    number = {6},
+    pages = {btag322},
+    year = {2026},
+    month = jun,
+    issn = {1367-4811},
+    doi = {10.1093/bioinformatics/btag322},
+    url = {https://doi.org/10.1093/bioinformatics/btag322}
 }
 ```