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Google has unveiled a range of new products and features aimed at enhancing healthcare-related technology, from expanding medical information in Search to introducing advanced AI models for drug discovery. These updates focus on improving how users access health data, interact with medical records, and find relevant healthcare insights online.
One of the key improvements is in Google Search, where AI and ranking systems have been leveraged to expand the platform’s knowledge panel answers across thousands of medical topics. While Search previously provided reliable information on common illnesses like the flu or colds, this update significantly broadens the range of covered conditions. Additionally, Google has introduced support for health-related queries in Spanish, Portuguese, and Japanese for mobile users, making accurate medical information more accessible to a global audience.
Alongside this, Google is launching a new Search feature called “What People Suggest,” initially available in the U.S. on mobile devices. This tool curates discussions from various online forums, using AI to highlight personal experiences related to health conditions. For instance, if a user searches for exercises suitable for arthritis, the feature will compile relevant suggestions from people who have firsthand experience. This development aligns with Google’s ongoing efforts to integrate real-life insights into health-related searches, preventing users from seeking such information elsewhere on platforms like Reddit.
Google’s Chief Health Officer, Karen DeSalvo, emphasized the importance of combining expert medical knowledge with personal perspectives. She explained that AI now helps organize diverse viewpoints into understandable themes, allowing users to quickly grasp a variety of perspectives from people with similar health experiences.
The company also announced the global rollout of new medical records APIs for its Health Connect platform on Android. These APIs will enable apps to read and write medical information, such as immunizations, allergies, medications, and lab results, using the standardized FHIR format. With these additions, Health Connect now supports over 50 data types, covering aspects like sleep, nutrition, vital signs, and medical history, making it easier for users to integrate their personal health data with professional medical records.
Another major announcement includes the upcoming launch of the Loss of Pulse Detection feature on Google’s Pixel Watch 3. This feature, which has received clearance from the U.S. Food and Drug Administration (FDA), is designed to detect sudden pulse loss due to conditions like cardiac arrest, respiratory failure, overdose, or poisoning. If the user is unresponsive, the watch will automatically prompt a call to emergency services. The feature is expected to roll out in the U.S. by the end of March.
Additionally, Google introduced TxGemma, a new set of open AI models specifically designed for drug discovery. This follows the company’s recent launch of its Gemini AI models, which are designed for multimodal applications in healthcare. TxGemma is expected to be made available in the coming weeks, further advancing AI-driven medical research.
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