AI & ML interests

LLMs and Distributed NLP

MaziyarPanahiย 
posted an update about 21 hours ago
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๐ŸŽ‰ OpenMed 2025 Year in Review: 6 Months of Open Medical AI

I'm thrilled to share what the OpenMed community has accomplished since our July 2025 launch!

๐Ÿ“Š The Numbers

29,700,000 downloads Thank you! ๐Ÿ™

- 481 total models (475 medical NER models + 6 fine-tuned LLMs)
- 475 medical NER models in [OpenMed](
OpenMed
) organization
- 6 fine-tuned LLMs in [openmed-community](
openmed-community
)
- 551,800 PyPI downloads of the [openmed package](https://pypi.org/project/openmed/)
- 707 followers on HuggingFace (you!)
- 97 GitHub stars on the [toolkit repo](https://github.com/maziyarpanahi/openmed)

๐Ÿ† Top Models by Downloads

1. [OpenMed-NER-PharmaDetect-SuperClinical-434M]( OpenMed/OpenMed-NER-PharmaDetect-SuperClinical-434M) โ€” 147,305 downloads
2. [OpenMed-NER-ChemicalDetect-ElectraMed-33M]( OpenMed/OpenMed-NER-ChemicalDetect-ElectraMed-33M) โ€” 126,785 downloads
3. [OpenMed-NER-BloodCancerDetect-TinyMed-65M]( OpenMed/OpenMed-NER-BloodCancerDetect-TinyMed-65M) โ€” 126,465 downloads

๐Ÿ”ฌ Model Categories

Our 481 models cover comprehensive medical domains:

- Disease Detection (~50 variants)
- Pharmaceutical Detection (~50 variants)
- Oncology Detection (~50 variants)
- Genomics/DNA Detection (~80 variants)
- Chemical Detection (~50 variants)
- Species/Organism Detection (~60 variants)
- Protein Detection (~50 variants)
- Pathology Detection (~50 variants)
- Blood Cancer Detection (~30 variants)
- Anatomy Detection (~40 variants)
- Zero-Shot NER (GLiNER-based)


OpenMed

OpenMed NER: Open-Source, Domain-Adapted State-of-the-Art Transformers for Biomedical NER Across 12 Public Datasets (2508.01630)
https://huggingface.co/collections/OpenMed/medical-and-clinical-ner
https://huggingface.co/collections/OpenMed/zeroshot-medical-and-clinical-ner
OpenMed/Medical-Reasoning-SFT-GPT-OSS-120B
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MaziyarPanahiย 
posted an update 6 months ago
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๐Ÿงฌ Breaking news in Clinical AI: Introducing the OpenMed NER Model Discovery App on Hugging Face ๐Ÿ”ฌ

OpenMed is back! ๐Ÿ”ฅ Finding the right biomedical NER model just became as precise as a PCR assay!

I'm thrilled to unveil my comprehensive OpenMed Named Entity Recognition Model Discovery App that puts 384 specialized biomedical AI models at your fingertips.

๐ŸŽฏ Why This Matters in Healthcare AI:
Traditional clinical text mining required hours of manual model evaluation. My Discovery App instantly connects researchers, clinicians, and data scientists with the exact NER models they need for their biomedical entity extraction tasks.

๐Ÿ”ฌ What You Can Discover:
โœ… Pharmacological Models - Extract "chemical compounds", "drug interactions", and "pharmaceutical" entities from clinical notes
โœ… Genomics & Proteomics - Identify "DNA sequences", "RNA transcripts", "gene variants", "protein complexes", and "cell lines"
โœ… Pathology & Disease Detection - Recognize "pathological formations", "cancer types", and "disease entities" in medical literature
โœ… Anatomical Recognition - Map "anatomical systems", "tissue types", "organ structures", and "cellular components"
โœ… Clinical Entity Extraction - Detect "organism species", "amino acids", 'protein families", and "multi-tissue structures"

๐Ÿ’ก Advanced Features:
๐Ÿ” Intelligent Entity Search - Find models by specific biomedical entities (e.g., "Show me models detecting CHEM + DNA + Protein")
๐Ÿฅ Domain-Specific Filtering - Browse by Oncology, Pharmacology, Genomics, Pathology, Hematology, and more
๐Ÿ“Š Model Architecture Insights - Compare BERT, RoBERTa, and DeBERTa implementations
โšก Real-Time Search - Auto-filtering as you type, no search buttons needed
๐ŸŽจ Clinical-Grade UI - Beautiful, intuitive interface designed for medical professionals

Ready to revolutionize your biomedical NLP pipeline?

๐Ÿ”— Try it now: OpenMed/openmed-ner-models
๐Ÿงฌ Built with: Gradio, Transformers, Advanced Entity Mapping
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