OpenMed

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OpenMed

@OpenMed_AI

Open-Source AI Agents for Healthcare & Life Sciences · Now shipping OpenMed Agent: Terminal-native AI for Healthcare

Katılım Ağustos 2025
6 Takip Edilen4.8K Takipçiler
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OpenMed
OpenMed@OpenMed_AI·
OpenMed Agent in 15 seconds. Codex. Claude. Hugging Face. Open source. The full stack. Bring your own LLM. The medical layer is built around it. Preview: agent.openmed.life
Maziyar PANAHI@MaziyarPanahi

🚨 Today: OpenMed Agent ships in preview. Built on @huggingface: → HF endpoints power clinical extraction + terminology → MCP for your own services → Every tool call, every plan, fully visible 1,000+ OpenMed medical models on HF. Preview today.

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Dan McAteer
Dan McAteer@daniel_mac8·
Why does @IsomorphicLabs only have 45k followers? They are trying to cure all disease. This is the type of AI related effort the entire world deserves to know about. It will, in fact, benefit everyone alive and everyone who will be alive in the future if they succeed.
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Demis Hassabis@demishassabis

I’ve always believed the No.1 application of AI should be to improve human health. That work started with AlphaFold, and now at @IsomorphicLabs with the mission to reimagine drug discovery and one day solve all disease! We are turbocharging that goal with $2.1B in new funding.

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OpenMed
OpenMed@OpenMed_AI·
@huggingface honored to be among those 1M open datasets! 🤗
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Hugging Face
Hugging Face@huggingface·
We've just hit 1M open datasets on the Hugging Face Hub 🎉 Open models need open data. Today we hit that milestone, together with the most incredible community in AI! 🤗 Onwards to the next million 🚀
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Maziyar PANAHI
Maziyar PANAHI@MaziyarPanahi·
🚨 Today: OpenMed Agent ships in preview. Built on @huggingface: → HF endpoints power clinical extraction + terminology → MCP for your own services → Every tool call, every plan, fully visible 1,000+ OpenMed medical models on HF. Preview today.
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OpenAI
OpenAI@OpenAI·
Today we’re launching the OpenAI Deployment Company to help businesses build and deploy AI. It's majority-owned and controlled by OpenAI. It brings together 19 leading investment firms, consultancies, and system integrators to help organizations deploy frontier AI to production for business impact. openai.com/index/openai-l…
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OpenMed retweetledi
Maziyar PANAHI
Maziyar PANAHI@MaziyarPanahi·
🚨 Today: openmed v1.4.0 ships. Multilingual Privacy Filter, three deployment paths: → Torch (all platforms) → MLX (Apple Silicon) → MLX 8-bit (iPhone, real-time) pip install "openmed[mlx]" Tomorrow 09:00 CET: something bigger.
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Maziyar PANAHI
Maziyar PANAHI@MaziyarPanahi·
Full breakdown: cost smackdown, full pricing receipt, leaderboard accuracy, deployment map, install. Apache 2.0.
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Maziyar PANAHI
Maziyar PANAHI@MaziyarPanahi·
🚨 1 million clinical notes redacted. AWS Comprehend Medical: $25,000–$70,000. MacBook running OpenMed: $0. Same accuracy (#1 on the PII Masking leaderboard). Same 50+ PII categories. Zero patient data leaving the building. Apache 2.0. Free forever.
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Maziyar PANAHI
Maziyar PANAHI@MaziyarPanahi·
@cgeorgiaw This is exactly the move. Discoverability of real scientific data + models on the Hub has been the missing piece for years. OpenMed's 1,000+ medical models all sit on top of @huggingface infra. huggingscience.co becoming its own destination is overdue and welcome. 👏
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OpenMed
OpenMed@OpenMed_AI·
@vintweeta People do have medical conversations more easily with chatbots before visiting real doctors. Who knew that not being judged or dismissed, and having infinite time, is something a patient needs!
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Vineeta Agarwala
Vineeta Agarwala@vintweeta·
Claude as concierge doctor is insane
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OpenMed
OpenMed@OpenMed_AI·
@salavat There are some internal benchmarks, specially the output of OCR pipeline which is always messy and bad! But need to keep it private to make sure it can be used on future models. In that benchmark, the Nemotron fine-tune and the new multilingual model did better
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salavat
salavat@salavat·
Thanks for the suggestion! I checked out the OpenMed privacy-filter collection — it looks solid, especially the fine-tuned Nemotron version. Quick question though: do you have any benchmark results on real-world messy corporate data (long emails, contracts, forwarded threads, signatures, etc.) rather than synthetic or curated datasets? If yes, I’d love to see them — would be really interesting to compare.
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OpenMed
OpenMed@OpenMed_AI·
Multilingual PII detection matters because privacy data is local. This model covers Dutch, German, French, Italian, Spanish, Portuguese, and more! Using OpenAI's privacy-filter architecture with OpenMed multilingual training. Runs in the web app and on iPhone/iPad.
Maziyar PANAHI@MaziyarPanahi

OpenAI's privacy-filter, multilingual. A token classifier built on the openai_privacy_filter architecture: → 54 PII span classes → BIOES labels per token → Viterbi cleanup into clean entity spans → 16 languages Running in the web app + on iPhone/iPad:

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salavat
salavat@salavat·
@OpenMed_AI I tested OpenAI privacy filter, gives enormous FPs on real life actual tests, to maintain incredible recall on PERSON entity.
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Keşfet

@daniel_mac8 @IsomorphicLabs @huggingface @julien_c @MaziyarPanahi @OpenAI @cgeorgiaw @vintweeta