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Google for Health
@GoogleForHealth
Official Google for Health news and updates on how we’re progressing our mission to help billions of people be healthier.
Mountain View, CA
Joined November 2019
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    Happy New Year! Our latest research, in collaboration with @DeepMindAI, has been published in @Nature today, demonstrating how our AI model can assist physicians in spotting breast cancer - a condition that affects 1 in 8 women in the US - with greater accuracy than experts.
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    Google’s research on a Personal Health Large Language Model (PH-LLM) is now published in @NatureMedicine Magazine!
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    Today, @GoogleAI and @GoogleDeepMind announce a new advancement in Project AMIE, our research on conversational medical AI, now with the ability to intelligently request, interpret, and reason about visual medical information in clinical conversations.
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    We’re excited to announce two @Nature publications from Project AMIE (Articulate Medical Intelligence Explorer), a research AI system optimized for diagnostic reasoning and conversations 💬 Paper 1: goo.gle/4lpQ8xg Paper 2: goo.gle/3G4DNPe
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    2 billion people globally suffer from skin conditions. Our CE-marked AI-powered dermatology tool will help people research common skin conditions. goo.gle/3bB01pS #GoogleIO
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    Exciting news from #GoogleIO! We’re introducing MedGemma, our most capable open model for multimodal medical text and image comprehension built on Gemma 3.
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    Our research collaboration with @Moorfields & @DeepMind, published in @NatureMedicine, shows how our AI system could help predict the development age-related macular degeneration. Our system performed as well as, & in some cases better than, experts.
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    Multimodal medical AI? You heard that right! 💯 We're sharing some exciting new #research that presents different approaches to introducing multimodal capabilities to #LLMs: goo.gle/43P3Pw1 Follow the thread 🧵 for a couple highlights. 👇 (1/4)
    The spectrum of approaches to building multimodal LLMs range from having the LLM use existing tools or models, to leveraging domain-specific components with an adapter, to joint modeling of a multimodal model.
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    We’re excited to share new research on Project AMIE (Articulate Medical Intelligence Explorer), our conversational medical AI! 💬 We're exploring its potential to assist clinicians in primary & specialty care. 🔗 goo.gle/3VNOdYa
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    We’re applying our technology and expertise along with @pacbio to the field of #genomics to help us better understand, diagnose, & treat diseases. We've compiled our recent research and highlighted industry developments that will help foster improvements:
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    In real-world deployment, medical #AI may encounter conditions it has never seen in training. Recognizing them is an important step to improving safety. Our new research demonstrates a novel method to tackle this challenge. goo.gle/31kUam7
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    Introducing #GoogleHealthStudies: a new @Android app designed to make health research more accessible, provide better representation and help researchers focus on advancing health. Join our first study w/ @BostonChildrens: goo.gle/3lYdnyL
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    We're excited to announce more healthcare customers will preview Med-PaLM 2 this September! 🙌 Providing greater access to #HealthAI tools is key in developing LLMs safely and responsibly. 🤝 Learn more and see how early adopters are already benefiting:
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    You don’t want to miss this ➡️ join us February 4th at our virtual event, #TheCheckUp, and learn how we’re working to tackle some of #healthcare’s biggest challenges. Save the date: g.co/TheCheckUp
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