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There is more health data than ever. But the ability of life sciences and healthcare organizations to govern, analyze, and partner on data remains a challenge, which is imperative for biomedical research and development. Verily Workbench provides the scalable infrastructure and collaborative tools to unlock the value of multimodal health data at scale, across genomics, wearables, imaging, and EHR data.
Hallucinations, outdated information, and accuracy issues are challenges to deploying Large Language Models (LLMs) in healthcare question-answering. How can we build trust? Our new paper introducing Query-Based Retrieval Augmented Generation offers a framework that improves both retrieval effectiveness and the quality of generated responses. Verily Data Scientist @Eric Yang will present the solution and key takeaways (listed below) at the Machine Learning for Healthcare (MLHC) Conference next week from August 15-16. -> LLMs enable automated knowledge base enhancements for retrieval augmented generation (RAG) applications -> Offline alignment enhances performance and reduces inference-time latency -> Comprehensive evaluation is crucial for healthcare question-answering
AI-driven technologies are reshaping healthcare delivery to make it more personalized for you. Help us bring this important conversation to the SXSW 2026 stage by voting for our proposals through the PanelPicker process. ✅ Tomorrow’s Health System: How AI Agents Will Redefine Care - featuring Andrew Trister, MD PhD (Verily), Brian Anderson, MD (CHAI), Brendan O'Leary (former FDA), Riley Ray Griffin (Bloomberg): https://veri.ly/4lkiVCl ✅ How AI is Enabling A Radical Shift in Understanding You - featuring Vindell Washington (Verily), Dr. Geeta Nayyar, MD, MBA (Clinical advisor), John Gerzema (Harris Insights), Alice Park (TIME): https://veri.ly/4murDyX ✅ Rethinking Personalized Health in a GLP-1 World - featuring Carolyn Bradner Jasik, MD (Verily), Caroline Susie RDN, LD (MercerWell), Dr. Phillip Levy (Wayne State U.), Arundhati Parmar (MedCity News): https://veri.ly/3H7GVut
🌟 A Brighter Way to Care 🌟 Watch the full Verily N of 1 episode to see how AI helps care feel more human.
In the first edition of the Verily Tech Blog, we explain the rationale behind using FHIRPath, which is to ensure everyone can speak the same healthcare data language. But getting it to work in code isn’t exactly plug-and-play. The first attempt was messy and labor-intensive. Read our next blog to learn how product engineering made FHIRPath parsing cleaner, faster, and much easier to extend by using ANTLR, a tool that turns a language’s grammar into working code.
How to make your health data work smarter? 🤔 The Verily platform enables modeling and decisioning across multiple health data resources for personal, precise, AI-driven care experiences and workflows
🦠 Is COVID spiking in your community? Recent data from the Centers for Disease Control and Prevention shows rising COVID-19 levels in wastewater and emergency room visits. The summer surge is concentrated in the South, Southeast, and West Coast regions. View Verily Sightline’s wastewater dashboard to find out if it’s happening near you.
The Rio Grande Valley has one of the highest rates of diabetes in the nation. Superior Health and Verily are bringing patient-centric retinal screenings to this Texas community for high quality imaging data to close gaps in access and care. Watch the full Verily N of 1 episode 👁️ Eye on the Future.
Early detection of diabetic retinopathy can mitigate vision loss by over 90%, but access to screening remains a challenge. Our new study published in JMIR Publications highlights the Verily Numetric Retinal Camera (VNRC) as a potential solution for integrated, primary care-based diabetic retinopathy screening. The results showed 98.5% of images captured by the VNRC were graded as sufficient for clinical interpretation. Learn how the Verily Numetric Retinal Camera's performance and usability could expand access and close gaps in care.
Organizations that generate multi-modal health data and research teams have a shared mission of advancing biomedical science, but siloed systems and cumbersome workflows prevent data access and usage. Read our blog for an approach to connecting and strengthening the biomedical research environment, with the goal of gaining meaningful insights faster and scaling collaboration.
