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MaziyarPanahiย 
posted an update 4 days 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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