At Google I/O, we shared how researchers worldwide are using Google’s agentic models to drive discovery and tackle pressing scientific challenges. We also announced Gemini for Science, a collection of new experimental tools developed by teams from Google Research, Google Labs, Google DeepMind, and Google Cloud. Among the tools are Computational Discovery, an agentic research engine, and Hypothesis Generation, which collaborates with scientists to define research challenges and uses a multi-agent “idea tournament†to help generate, debate and evaluate hypotheses. Learn more about how we’re supercharging scientific research: https://goo.gle/4tGUAeh
About us
Google for Health is committed to helping everyone live more life every day through products and services that connect and bring meaning to health information. We’re developing technology solutions to enable care teams to deliver better, faster and more connected care. We’re working on products and features to empower people to be healthier with the information, assistance, and connections they need to act on their health. And we’re exploring the use of artificial intelligence to assist in diagnosing cancer, predicting patient outcomes, preventing blindness and much more. Our work complements Google’s mission to organize the world’s information and make it universally accessible and useful
- Website
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https://health.google/
External link for Google for Health
- Industry
- Technology, Information and Internet
- Company size
- 10,001+ employees
Updates
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This Mental Health Awareness Month, we’re focused on making it easier for people to find the help they need. Learn more about Google's recent mental health work, including updates to Gemini to help streamline the path to support for those who need it, along with $30 million in funding from Google.org to support crisis hotlines around the world. âž¡ï¸ https://goo.gle/4dJX0E0
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Medicine has always been a team sport, and AI agents can bring more teammates onto the field: extending clinicians’ reach while ensuring they retain judgment and control. This serves as the foundation of Google DeepMind's AI co-clinician: a research initiative exploring the potential for real-time multimodal AI as an assistive component of the care team. The research evaluated how well AI co-clinician might support clinicians by surfacing high-quality evidence. We're also investigating how AI co-clinician performs in a patient-facing research context through simulated telemedical settings with patient actors. Learn more about this new research initiative: https://goo.gle/4toGVbp
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For years, we’ve been working to bring the best of Google to the world of health. With advances in AI, there’s even more opportunity to reimagine how we can improve the overall health experience. Today, we’re announcing what’s coming next. 1ï¸âƒ£ The Fitbit app is becoming the Google Health app. It’s your go-to hub for your health, with a comprehensive view of your activity and recovery, plus the ability to sync medical records in the US and share your journey with friends, family or providers. 2ï¸âƒ£ Google Health Coach will be available in select regions to eligible Google Health Premium users starting May 19. Built with Gemini, the coach has new and improved features, including personalized fitness plans, sleep guidance, and 24/7 answers to your health and wellness questions. 3ï¸âƒ£ Fitbit Air is our newest screenless wearable. Lightweight, effortless, and starting at just $99, the Fitbit Air is designed to unlock the full power of Google Health Coach. Learn more about our new era for health and wellness: https://goo.gle/4wntGuv
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To power the next generation of pioneering research, Gemma 4 models are sized to run and fine-tune efficiently on hardware— from laptop GPUs, all the way up to developer workstations and accelerators. By using these highly optimized models, you can fine-tune Gemma 4 to achieve state-of-the-art performance on your specific tasks. We've already seen incredible success with this approach; for instance we worked with Yale University on Cell2Sentence-Scale to discover new pathways for cancer therapy. Learn more about Gemma 4, our most intelligent open models to date: https://goo.gle/4upVyMG
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Last month, thousands of organizations joined Google Cloud at Next ’26 to explore what’s ahead for AI and cloud tech. In healthcare and life sciences, many organizations are already putting AI to work in practical ways. Explore the full list of organizations enhancing their work with Google’s AI solutions. âž¡ï¸ https://goo.gle/4d9qF8g
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How can we help scientists get better data out of their instruments? Google Research is using Google DeepMind's AlphaEvolve to identify new ways to train DeepConsensus, a model that corrects errors in DNA sequencing data. Its newest version is launching on PacBio instruments, increasing both output and the amount of high-quality, highly accurate data produced. Stronger data can lead to clearer insights, helping researchers better understand genetic variation and its role in patient health and disease. Explore the updates and open-source improvements on the DeepConsensus GitHub. https://goo.gle/4d01ogy
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Google Cloud Next kicks off on Wednesday, April 22. Here are the top 20 sessions where healthcare & life science industry leaders will share how they work with Google Cloud all in one place: 1. How healthcare leaders escaped pilot purgatory to deliver real-world impact https://bit.ly/3QpzhzH 2. Transform legacy healthcare to an agentic AI digital organization https://bit.ly/4vn3zTM 3. AI transformation to improve patient experience, operational efficiency, and clinical quality https://bit.ly/4sFk37c 4. Advance medicine and healthcare outcomes with Gemini https://bit.ly/4tUYhgZ 5. Health Data & LLMs - An LLM Playground for Health Customers https://bit.ly/3Ovzy3s 6. The unified pipeline: Multimodal AI across the life sciences value chain https://bit.ly/4ctqGne 7. The ground won’t stop moving: Delivering AI value anyway https://bit.ly/41wPMfQ 8. Gemini in regulated sectors: Accelerate human impact with secure AI https://bit.ly/4cd6F5p 9. Architecting Multimodal GenAI Applications for Healthcare https://bit.ly/41xjt0n 10. AI at enterprise scale https://bit.ly/4sBv4GM 11. How to scale Agentic AI for the enterprise: A real life example https://bit.ly/4tPz6ME 12. Revolutionize member interactions with a multi-agent AI architecture https://bit.ly/4cLKAef 13. What's new in Gemma: Google DeepMind's family of open models https://bit.ly/4ce1Clh 14. Build AI agents at scale with Google Cloud https://bit.ly/3O6uSBf 15. Next Gen Finance: From skepticism to scale https://bit.ly/4vxcemE 16. Fuel the future: How global leaders turn data into AI-powered growth https://bit.ly/4muybPn 17. Scale and protect internet-facing web, API, and AI services just like Google https://bit.ly/4tppAQk 18. Streamlining the pharma tech transfer process https://bit.ly/4tojobt 19. The agentic era: how AI is reshaping medical imaging discovery at scale https://bit.ly/4298F8N 20. Boost your resilience posture with native fault injection testing https://bit.ly/4cbwa78
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🚨Last Call: Applications close on May 1 for the Google.org Impact Challenge: AI for Science. The challenge provides catalytic funding and technical expertise to help researchers, nonprofits and social enterprises unlock Nobel-level breakthroughs. We are specifically seeking projects in Health and Life Sciences, Climate Resilience, and Environmental Science. Learn more âž¡ï¸ https://lnkd.in/gK96SGa3
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Every day, over a billion health questions are asked on Google Search. Now, those queries are becoming longer, more complex, and nuanced. People are not only asking questions with text, but also using their voice, images, and even their camera. At #TheCheckUp, Hema Budaraju, VP, Product Management, Google Search, shared how AI Mode and AI Overviews are making it easier to explore questions through a more conversational back-and-forth and find reliable information about health topics. Watch Hema’s full talk to learn more: https://goo.gle/4cse9QS