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README.md
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🔬 What we've open-sourced
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All
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A note on models we build on: for healthcare and government contexts we deliberately restrict our open-weight bases to US/EU-origin models. It's a sovereignty and trust choice, and it's baked into how we pick every base you see here.
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CPS One — the governance lobe. Privacy program operations, breach response, and AI governance.
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All three run on Aether One™, our patent-protected substrate (USPTO filings in progress). The
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✅ Where we are
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🌐 Website — genzeon.one
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📰 Newsletter — Building the Healthcare Brain on LinkedIn
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🤗 Hugging Face — @
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🔬 What we've open-sourced
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Healthcare Brain — clinical NER family
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The Healthcare Brain NER family is our set of production-grade clinical Named Entity Recognition models. They're built on trusted biomedical bases (Bio_ClinicalBERT, PubMedBERT), fine-tuned on clinical corpora, and released under Apache-2.0 so you can actually use them in real systems. Each ships with a live demo Space you can try in the browser.
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ModelExtractsBaseLabelsLicenseDemoHealthcare Brain Medication NERDrug names, dosages, routes, frequencies, administration details (12 categories)Bio_ClinicalBERTBIO · 25Apache-2.0Try it →Healthcare Brain Laboratory NERLab tests, values, units + rule-based numeric extractionBio_ClinicalBERTBIO · 21Apache-2.0Try it →Healthcare Brain Diagnosis / ICD NERDiagnoses & conditions, with ICD-10 / SNOMED linking via SapBERT (9 categories)PubMedBERTBIO · 19Apache-2.0Try it →Healthcare Brain Clinical Findings NERSymptoms, findings and clinical mentions from free-text notesBio_ClinicalBERT · spaCy—Apache-2.0Try it →Healthcare Brain Vitals NERBlood pressure, heart rate, temperature, SpO₂ and other vital signsBio_ClinicalBERT—Apache-2.0Try it →Healthcare Brain NER (base)PHI / PII entities for de-identification before downstream useBio_ClinicalBERT—Apache-2.0Try it →
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All models are ~110M parameters, use a 512-token window, and run on standard HuggingFace Transformers — small enough to deploy on-prem or at the edge, which matters a lot for PHI. The Diagnosis / ICD model runs a two-stage pipeline: NER extraction, then entity linking for automated code mapping.
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A note on models we build on: for healthcare and government contexts we deliberately restrict our open-weight bases to US/EU-origin models. It's a sovereignty and trust choice, and it's baked into how we pick every base you see here.
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CPS One — the governance lobe. Privacy program operations, breach response, and AI governance.
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All three run on Aether One™, our patent-protected substrate (USPTO filings in progress). The NER models above are the kind of grounded, auditable NLP that feeds that system.
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✅ Where we are
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🌐 Website — genzeon.one
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📰 Newsletter — Building the Healthcare Brain on LinkedIn
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🤗 Hugging Face — @genzeonplatform
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