New from Google Research: The Anatomy of a Personal Health Agent. The paper explores a longstanding challenge: creating AI systems that can analyze complex health and wellness data while also providing empathetic, actionable, and evidence-based guidance. It proposes a multi-agent framework — combining Data Science, Domain Expert, and Health Coach sub-agents — and represents one of the most comprehensive evaluations of a health agent to date. This work lays a foundation toward the vision of a personal health agent accessible to everyone. Learn more: https://goo.gle/4nWGmDg
About us
Google 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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Today, we’re introducing AfriMed-QA – the first large-scale pan-African dataset designed to help evaluate and develop optimized and effective LLMs for African healthcare. LLMs have shown potential for health question answering, including in low-resource settings where they may support decision-making, enhancing diagnostic accuracy, accessibility, and training. But there’s uncertainty about how well they generalize to tasks involving distribution shifts in disease types, contextual differences across symptoms, or variations in language and linguistics, even within English. AfriMed-QA helps address such gaps. Developed in partnership with organizations across Africa, AfriMed-QA is a collection of contextually relevant datasets for evaluation of LLMs on African health question answering tasks, now open-sourced and available for community use. More from Google Research: https://goo.gle/4nv3VDx
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Healthcare and Life Sciences Partner Day brings together Google and our partners to showcase how AI is transforming the healthcare landscape. This full-day event in New York City highlights AI solutions that are actively addressing some of the most critical challenges facing the industry today. Whether you're a healthcare professional, a technology enthusiast, or a business leader, this event will demonstrate how AI is transforming the future of healthcare. Join us on Thursday, September 25! Register now to secure your spot: https://goo.gle/4pJgOLS
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At the Google for Health Japan Summit, Bakul Patel, Senior Director, Global Digital Health Strategy & Regulatory, highlighted how secure, responsible AI solutions are shaping the future of healthcare. 👇
Sr Director, Global Digital Health Regulatory Strategy; Former Chief Digital Health Officer and Founding Director of the Digital Health Center of Excellence at US FDA
At the Google for Health Japan Summit last week, I spoke about how generative AI is helping address healthcare’s biggest challenges — and how we’re already putting it into practice with our partners in Japan and around the world. Gemini is helping ease regulatory complexity, accelerating quality management system compliance via “Agentic QMS,” while MedGemma and Vertex AI for Healthcare provide the foundation for building advanced solutions securely and at scale. Just as important, safeguards for privacy, responsibility, explainability, and validation ensure AI in healthcare is both powerful and trustworthy. At Google, we’re committed to working with the healthcare and life sciences community to build a healthier future for everyone. Thank you to all who joined us at the event.
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A great discussion on how AI is accelerating drug discovery at the Google for Health Japan Summit! More from Justin Chen, Clinical Specialist 👇
I had the privilege of moderating a panel at the Google for Health Japan Summit on AI’s role in accelerating drug discovery, with Koki Shimada, CEO of SyntheticGestalt KK, and Takeshi Sagara, Executive Director at Taiho Oncology, Inc. We discussed how foundation models are reshaping discovery, the evolving relationship between scientists and AI tools, the organizational challenges of adopting transformative technology, and how to think about success. Thank you to our panelists for sharing their insights, and to the audience for joining us for such an important conversation about the future of drug discovery and science.
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AI in health is moving rapidly from research to scaled, real-world solutions — and Japan is leading the way. At the Google for Health Japan Summit, we saw powerful examples of innovation shaping the future of health. Read more from Amy McDonough, Managing Director of Google for Health. 👇
What an exciting day at the Google for Health Japan Summit! It’s incredible to think that just two years ago we were only scratching the surface of AI’s potential in health. Now, those early ideas are becoming real solutions at scale. This year’s event marked an important announcement: Google.org is providing $3.5 million to The Japan Foundation for Aging and Health (JFAH) to help address one of Japan’s most pressing challenges — the super-aging society. The grant will support initiatives enabling more than 10,000 older adults to confidently use AI tools and foster stronger connections between younger and older generations. Alongside this announcement, we also saw how our partners in Japan are already putting AI to work in healthcare: - Ubie is incorporating Gemini to ease administrative burden for clinicians, with one hospital having cut the time nurses spend on discharge summaries by more than 42%. - Tsukuba Memorial Hospital is leveraging Fitbit data with Gemini to better understand heart failure patients. - Life Log Technology Inc. (Calomeal app) and Welby Inc. (My Carte app and Salt and Blood Pressure Management Note app) are using Android Health Connect to bring people personalized activity and nutrition insights. Behind these stories are new tools shaping the future of health: MedGemma for multimodal medical text and image comprehension, AI co-scientist to help accelerate research, Agentspace to streamline operations, and more. This month in Japan, YouTube also introduced the “First Aid” section in search results, giving people quick access to expert-created videos on CPR, choking, seizures, and more. Learn more about this initiative: https://lnkd.in/g9CpNds2 At Google, we believe that by bringing our best technology and tools, we can help address some of the most pressing health challenges facing Japan and the world. I’m grateful to our speakers, partners, and attendees for bringing such energy to the event, and I’m optimistic about the healthier future we’re creating together.
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Google.org hosted a workshop that united 50+ organizations to connect, collaborate, and advance the future of Health AI. Over three days, the workshop moved from keynotes and product demos to benchmarking exercises and discussions on public health, drug discovery, AI for disease screening, and more.
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The global health workforce is projected to face a shortage of 11 million workers by 2030. We’re exploring how Google's AI models could help address this challenge by serving as helpful tools in medical learning environments. In feasibility studies, medical learners and educators evaluated LearnLM, Google's set of Al models infusing Gemini with learning science principles. Across 50 medical education scenarios, LearnLM was preferred over the base model, with physician educators judging it “more like a very good human tutor.” With these capabilities now integrated into Gemini 2.5 Pro, we see potential to accelerate clinical competency and reimagine health professions education with Al. Learn more from Google Research: https://goo.gle/3JAQvqD
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Introducing a new Al-powered personal health coach— a fitness trainer, sleep coach, and health advisor all working together to help you be your best. Backed by research and built with industry experts, the coach is designed to deliver guidance that’s uniquely tailored to your health goals and real-life circumstances. It was developed with the invaluable guidance of our Consumer Health Advisory Panel, a diverse group of leading experts spanning medicine, artificial intelligence, behavioral science, and more. Their scientific and clinical insights ensure our features are grounded in evidence and designed to genuinely improve your well-being. Starting this October, we'll begin rolling out a preview of the personal health coach as part of Fitbit Premium in the redesigned Fitbit app. Learn more: http://g.co/health/phc
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From smartwatches to diagnostic tests, health data is increasingly multimodal— often carrying unique and overlapping signals. To analyze them together, Google Research developed M-REGLE, an AI method that allows for the joint analysis of multiple types of label-free health data. This work contributes to uncovering genetic links to disease and improving our ability to predict risk. https://goo.gle/45nkw4t
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