Health & Bioscience

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AfriMed-QA: Benchmarking large language models for global health

Afrimed-QA, a collection of contextually relevant datasets for evaluation of LLMs on African health question answering tasks, developed in partnership with organizations across Africa. Large language models (LLMs) have shown potential for medical and health question answering across various health-related tests spanning different formats and sources, such as multiple choice and short answer exam questions […]

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Towards better health conversations: Research insights on a “wayfinding” AI agent based on Gemini

Google Researchers share user insights from a novel research AI agent that helps people find their way to better health information through proactive conversational guidance, goal understanding, and tailored conversations. The ability to find clear, relevant, and personalized health information is a cornerstone of empowerment for medical patients. Yet, navigating the world of online health

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The anatomy of a personal health agent

Learn about Google Researchers research prototype, an LLM-powered personal health agent that analyzes data from everyday wellness devices paired with health data, such as blood biomarkers, to offer evidence-based health insights and to provide a personalized coaching experience. The rapid advancement of large language models (LLMs), combined with data from wearable devices, presents a transformative opportunity

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Using AI to identify genetic variants in tumors with DeepSomatic

DeepSomatic is an AI-powered tool that identifies cancer-related mutations in a tumor’s genetic sequence to help pinpoint what’s driving the cancer. Cancer is fundamentally a genetic disease in which the genetic controls on cell division go awry. Many types of cancer exist, and each poses unique challenges as it can have distinct genetic underpinnings. A

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How we are building the personal health coach

The personal health coach is built with Gemini models to deliver personalized and adaptive coaching, grounded in science and informed by expert oversight. Historically, health and fitness journeys have been fragmented, generic and inaccessible, whether within existing apps or through general health and fitness journeys outside of apps. For instance, a primary care provider might

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