Dermatology research has long faced challenges due to datasets lacking diversity— often skewing toward lighter skin tones and lacking common conditions like rashes, infections and allergies. The Skin Condition Image Network (SCIN) addresses these critical gaps by providing a diverse and representative collection of over 10,000 skin condition images across various skin tones and body parts. This work, led by Stanford Medicine in collaboration with teams from Google Health and Google Research, has now been peer-reviewed and published in JAMA. Learn more about SCIN and its impact here: https://goo.gle/4fFukKY
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 Health
- Industry
- Technology, Information and Internet
- Company size
- 10,001+ employees
Updates
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How can AI help tackle climate change and safeguard public health? Google's teams are taking on this challenge. On Dec. 3, join Mansi Kansal, Google Product Manager, Sustainability and Health AI, and David Hondula, Director of Heat Response and Mitigation for the City of Phoenix for an insightful LinkedIn Live on the future of tech for sustainability. RSVP here: https://goo.gle/3V33ZhD
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To more easily build models for computed tomography (CT) studies across different body parts, we’re announcing CT Foundation, a new medical imaging embedding tool that accepts a CT volume as input and returns a small, information-rich numerical embedding that can be used to rapidly train models. The tool is a free resource designed for researchers and developers to more easily build models for CT studies across different body parts. Learn more: https://goo.gle/3ZfwnQi
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Researchers worldwide can now access AlphaFold 3 to accelerate drug discovery, understand disease mechanisms, and develop new treatments by freely accessing cutting-edge protein structure prediction technology. This open access democratizes powerful AI tools, fostering collaboration and potentially leading to breakthroughs in precision medicine and therapeutics. Access here: https://goo.gle/4eHr4gO
We’re thrilled that #AlphaFold has been named one of TIME’s best inventions of 2024. 🧬 Our breakthrough model has been used by 2ï¸âƒ£million scientists in over 190 countries. Find out more about our work ↓ https://lnkd.in/ee-p5_Pw
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Google Cloud's Healthcare Data Engine allows enterprises to create a longitudinal patient record across siloed data – in near real time – to power your applications, analytics, and AI, and unlock insights at scale. Learn more: https://lnkd.in/gM22idfF
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Like many nations, Singapore faces rising rates of preventable diseases like diabetes and hypertension and an aging population that increases pressures on the healthcare system. Google Health is partnering with local healthcare institutions to support the Singapore Ministry of Health’s Healthier SG, a national preventive care initiative. Learn how we’re supporting two preventive programs and a research health initiative through AI and digital health tools: https://goo.gle/4fFZmSC
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The study of disease prevalence, economic security and disasters is very complex and is often limited by various shortcomings in the underlying data. In an effort to mitigate these challenges, today we introduce the Population Dynamics Foundation Model (PDFM), which is a novel geospatial model that users may easily tune to a wide variety of downstream tasks across fields from health to socioeconomics and environmental science. We are also releasing model embeddings and code recipes for interpolation and extrapolation, super-resolution, nowcasting, and more. Learn more at https://goo.gle/3Coo63n
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In a pilot collaboration with YouTube, Stanford CME is transforming online medical education by meeting learners where they are, with innovative accredited medical education content on the platform. Learn more! https://goo.gle/4fpNAff
Stanford Medicine adds continuing medical education online program to YouTube Health
med.stanford.edu
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Climate change represents a significant threat to health and well-being, and Google’s research and sustainability teams are leveraging the power of AI to address this challenge, alongside key partners. In a LinkedIn Live discussion on Dec. 3, join Mansi K. Google Product Manager, Sustainability and Health AI, and David Hondula, Director of Heat Response and Mitigation for the City of Phoenix, for a timely discussion on using technology to build a sustainable future for all.
Smart Solutions for Extreme Heat
www.linkedin.com
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Learn how you can apply #GenAI to your career in healthcare in a new Google Cloud Skill Boost course! Generative AI for Healthcare is a 1-hour course that will teach you real-life applications of AI through videos and a hands-on lab. Take the course for free by becoming a Google Cloud Innovator to receive 35 learning credits every month: https://goo.gle/4fIcfLT
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