Shek Azizi
@AziziShekoofeh
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Staff Research Scientist @Google @GoogleDeepMind Opinions are my own.
Planet Earth
Joined July 2020
RT @david_van_dijk: What if LLMs could โreadโ & โwriteโ biology? ๐ค.Introducing C2SโScaleโa @Yale + @GoogleAI @GoogleDeepMind collab: we scaโฆ.
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RT @JeffDean: Introducing TxGemma, a family of open models specifically tailored for health settings, building on top of Gemma and Gemini.โฆ.
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RT @GoogleDeepMind: Developing new drugs can be notoriously slow, expensive and risky. ๐ฌ. Enter TxGemma: a more general, open and scalableโฆ.
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RT @googleaidevs: โ๏ธ TxGemma is a collection of open models designed to accelerate therapeutic data analysis with the power of @GoogleDeepmโฆ.
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RT @HardyShakerman: ๐จ New paper ๐จ Excited to share new capabilities for AMIE our conversational medical AI @GoogleAI @GoogleDeepMind We advโฆ.
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Huge thanks to the amazing researchers and developers who made HAI-DEF possible! Congratulations to the entire team!. @fmahvar @shravyas @PilgrimRory @asellerg @DanielIGolden and many more!.
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๐๐๐-๐๐๐
launches with 3 open-weight foundation models for Dermatology, Pathology, and Chest X-ray analysis, available now on Hugging Face and Vertex Model Garden! Please check out the blog post below and use the models!
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This week we announced โจ๐๐๐๐ฅ๐ญ๐ก ๐๐ ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐๐ซ ๐
๐จ๐ฎ๐ง๐๐๐ญ๐ข๐จ๐ง๐ฌ (๐๐๐-๐๐๐
)โจ which is a collection of open weight models to accelerate the development of health AI for real clinical use-cases.
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Announcing CT Foundation, a new medical imaging embedding tool that accepts a computed tomography (CT) volume as input and returns a small, information-rich numerical embedding that can be used to rapidly train models. Learn more and try it out yourself โ
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๐ CT Foundation Tool: .๐ API Access Form: ๐ฆ Demo notebook: ๐๏ธ Med-Gemini Preprint: ๐ Blog post:
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CT Foundation endpoint transforms complex, whole-volume CT scans into compact numerical embeddings, making it dramatically easier to train powerful AI models. This new API leverages a VideoCoCa model trained contrastively and generatively on over 0.5 million scans and reports.
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Built on our work from โจMed-Geminiโจ, we're thrilled to unveil โก๏ธโก๏ธCT Foundationโก๏ธโก๏ธ, a novel AI endpoint that simplifies CT scans analysis!
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Tx-LLM accelerates drug development by optimizing for tasks in every stage of the therapeutic pipeline. Want to explore its potential for your research? We're looking to hear from you and are happy to keep you updated on our progress!.
Development of therapeutic drugs is often difficult and time consuming. A new model, Tx-LLM, is able to predict the properties of many entities of potential interest for therapeutic development with accuracy comparable state-of-the-art specialty models.โ
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Read more:
Excited to announce that our paper, โA toolbox surfacing health equity harms and biases in large language modelsโ is now published with @NatureMedicine:
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Thanks to many amazing collaborators from.@GoogleAI.@GoogleDeepMind.@MIT.@UAlberta., including.@stephenpfohl .@hcolelewis.@thekaransinghal.@DrNealResearch.@dr_nyamewaa.@adoubleva.@weballergy.@negar_rz.@LiamGMcCoy .@alan_karthi .@HardyShakerman.and many more!.
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You can access the ๐๐ช๐ฎ๐ข๐ญ๐ฒ๐๐๐๐๐ datasets, LLM outputs, and human evaluation ratings here: .
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