Insights Explorer is now available to select users in the Fitbit app, offering personalized answers to health and wellness questions using Google’s Gemini models. 💡📊 As part of the new Fitbit Labs, this tool tests AI’s ability to turn data points—like sleep and activity—into actionable insights. Learn more: https://cnet.co/3NkWeiO
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.
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Google Health reposted this
Huge congratulations to Demis Hassabis and John Jumper on being awarded the 2024 Nobel Prize in Chemistry for protein structure prediction with #AlphaFold, along with David Baker for computational protein design. This is a monumental achievement for AI, for computational biology, and science itself. 🧬
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 Nobel Prize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.” The Nobel Prize in Chemistry 2024 is about proteins, life’s ingenious chemical tools. David Baker has succeeded with the almost impossible feat of building entirely new kinds of proteins. Demis Hassabis and John Jumper have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures. These discoveries hold enormous potential. The diversity of life testifies to proteins’ amazing capacity as chemical tools. They control and drive all the chemical reactions that together are the basis of life. Proteins also function as hormones, signal substances, antibodies and the building blocks of different tissues. Proteins generally consist of 20 different amino acids, which can be described as life’s building blocks. In 2003, David Baker succeeded in using these blocks to design a new protein that was unlike any other protein. Since then, his research group has produced one imaginative protein creation after another, including proteins that can be used as pharmaceuticals, vaccines, nanomaterials and tiny sensors. The second discovery concerns the prediction of protein structures. In proteins, amino acids are linked together in long strings that fold up to make a three-dimensional structure, which is decisive for the protein’s function. Since the 1970s, researchers had tried to predict protein structures from amino acid sequences, but this was notoriously difficult. However, four years ago, there was a stunning breakthrough. In 2020, Demis Hassabis and John Jumper presented an AI model called AlphaFold2. With its help, they have been able to predict the structure of virtually all the 200 million proteins that researchers have identified. Since their breakthrough, AlphaFold2 has been used by more than two million people from 190 countries. Among a myriad of scientific applications, researchers can now better understand antibiotic resistance and create images of enzymes that can decompose plastic. Life could not exist without proteins. That we can now predict protein structures and design our own proteins confers the greatest benefit to humankind. Learn more Press release: https://bit.ly/3TM8oVs Popular information: https://bit.ly/3XYHZGp Advanced information: https://bit.ly/4ewMBta
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Rare heart diseases present a major global challenge: expanding lifesaving access to subspecialist expertise to millions with complex conditions. AI could help. Learn more about this early stage research 👇
Medical AI at Google: AMIE, Med-Gemini, MedPaLM, MedPaLM-2, MedPaLM-M, CoDoC
Happy to share our new work “"Towards the Democratization of Subspecialty Medical Expertise”. Rare heart disease exemplifies a major global healthcare challenge: improving access to subspecialist medical expertise for millions who have complex conditions - https://lnkd.in/ei58hjGV We explored how AMIE, a research LLM optimized for diagnosis, might help diagnosis and treatment decisions in suspected inherited cardiomyopathies. Using de-ID case information, world-experts at Stanford performed a blinded evaluation of responses by AMIE or board-certified general cardiologists. AMIE’s diagnosis ,triage and management were preferred in 5/10 domains, and equivalent in the remainder. AMIE and cardiologists were complementary, revealing great potential for AI as an assistive tool. Despite a slightly higher rate of errors, AMIE was preferred by subspecialists due to its comprehensiveness. Access to AMIE outputs improved general-cardiologist’s responses in 64% of cases across all 10 domains of evaluation. While promising, this is very early-stage research. Significant further work is needed before such systems might be safe for clinical use and to catalyze this progress we are open-sourcing the de-ID evaluation cases here: https://lnkd.in/eu4_ebsE It was such a privilege to work with the great experts in subspecialty medicine at Stanford - Euan Ashley, and Jack O'Sullivan MD, PhD with my outstanding teammates Google DeepMind - Khaled Saab, Anil Palepu, Tao Tu, Vivek Natarajan and Wei-Hung Weng. And… just for fun… we made a podcast discussing the paper thanks to #NotebookLM! It's a quirky and quick listen that we hope helps explain what we studied and why: https://lnkd.in/eQq9NEkG
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Global mental health concerns continue to outpace the availability of solutions. The emergence of AI may provide promising pathways to creating novel, large-scale solutions to better support the mental health of millions. October 10 is World Mental Health Day - join Google’s Megan Jones Bell and Emily Feinstein from Partnership to End Addiction for a live-streamed discussion on advancements in using AI to help scale mental health support to those who need it.
Spotlight on Mental Health Access
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It’s #WorldMentalHealthDay! At 12:30pm ET / 9:30am PT, Google's Megan Jones Bell will host a live-streamed discussion with Partnership to End Addiction's Emily Feinstein on leveraging tech and AI to scale mental health support. Join us: https://goo.gle/3NpvSvW
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Tomorrow, Oct. 10, is World Mental Health Day. With global mental health challenges on the rise, AI is opening up innovative avenues to scale support and provide solutions to the public at a massive level. Join Google's Megan Jones Bell and Emily Feinstein from Partnership to End Addiction on 10/10 for a live-streamed discussion on how AI is transforming mental health care. Register now: https://goo.gle/4dFwxEc
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With global mental health concerns rising, the gap between the need for support and the availability of solutions continues to widen. Fortunately, the emergence of AI offers promising new avenues to address this challenge by delivering scalable solutions to millions in need. On World Mental Health Day (October 10), join Google's Megan Jones Bell and Emily Feinstein from Partnership to End Addiction for a live-streamed discussion on the latest advancements in AI and how it’s being used to scale mental health support across the globe. Register today: https://goo.gle/3TU0BF6
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Great turnout at the Black in Health Tech event in London hosted by Dr Dillon Obika!
What an amazing event! It was brilliant to host such an inspiring, energised, funny and brilliant group of people at our Black in Health Tech event with Google Health. I hosted an amazing fully packed room of people and gave an introduction to working in the Health Tech industry and shared a few things I've learned. This was followed by Tara Ojo Agyemang walking us through the experience of a software engineer working on some of healthcare datas most challenging problems. Then I moderated a panel with the brilliant Ivan Beckley, MD who shared his journey from medical student to building the thriving business Suvera. As well as the awesome Stephanie Riley who shared her professional journey from as both an intensive care nurse and building products for patients at scale at Dr Doctor. But the main highlight was all the discussions, introductions and connections made in our networking session afterwards. A huge thank you to everyone who came and made it such a great evening. And for those of you who couldn't make it, we'll be sharing out any resources we highlighted and anything that comes next!
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Today, we’re excited to announce initiatives aimed at advancing India’s digital health infrastructure and improving healthcare delivery. These efforts will help millions of people access their health information more easily and empower clinicians with AI-driven tools for better patient care. ✅ ABHA health IDs on Google Wallet: Starting next year, over 600 million Ayushman Bharat Health Account (ABHA) ID holders will be able to access their health IDs via Google Wallet. ✅ AI-powered Clinical Intelligence Engine: Using Vertex AI in Google Cloud, the Clinical Intelligence Engine summarizes a patient’s medical history and provides informed, real-time clinical insights, helping doctors better understand cases and make data-driven recommendations. Learn more about these focus areas in a new blog from Bakul Patel, Google's Senior Director, Global Digital Health Strategy & Regulatory: https://goo.gle/3BsoWeR
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Non-communicable diseases, like heart disease, cancer, and diabetes, as well as mental health conditions, negatively affect millions of people around the world. Digital interventions can close gaps in access and empower individuals to take control of their health and well-being. We're glad Megan Jones Bell, our director of consumer and mental health, could advise this World Health Organization report. Learn more: https://goo.gle/4eHZ2C8
Going digital for noncommunicable diseases: the case for action