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mkurmanΒ 
posted an update 4 days ago
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πŸš€ Big news! NeuroBLAST, the outstanding new architecture, has officially arrived on HF! After three intense months of training my 1.9 billion SLM on my trusty RTX 3090 Ti, I’m happy to announce the results. While it’s not perfect just yet, I’ve dedicated countless hours to optimizing costs while crafting clever layer connections that mimic the brain's centers. Plus, I’ve introduced a new memory-like layer that’s sure to turn heads! I can’t wait to dive deep into this journey in my upcoming blog post. Stay tuned for the full scoop! πŸ”₯

meditsolutions/NeuroBLAST-1.9B-Instruct-Early-Preview
MaziyarPanahiΒ 
posted an update 6 days ago
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🧬 Breaking news in Clinical AI: Introducing the OpenMed NER Model Discovery App on Hugging Face πŸ”¬

OpenMed is back! πŸ”₯ 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.

🎯 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.

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

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

Ready to revolutionize your biomedical NLP pipeline?

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