Verily

11mo

Imagine healthcare as unique as you are, tailored precisely to your individual needs. “N of 1” is a documentary series that highlights the promise of precision health to transform lives by harnessing diverse forms of health data and turning them into insights that lead to action — making healthcare more personal and precise.

Verily

11mo

Better nutrition is key — but hard — for people managing cardiometabolic conditions. Verily’s latest research reveals a new, evidence-based 3Ps approach: ✅ Practical — Be actionable and easy Feedback and guidance must be achievable and low-friction. Participants responded best to small, actionable suggestions — like healthy food swaps, portion tips, or specific meal ideas. The goal is to fit healthy habits into real, feasible routines. ✅ Positive — Celebrate the wins Participants were more motivated when feedback celebrated small wins rather than calling out "bad" choices. Negative words, red symbols, or shaming were demotivating. Starting with encouragement helped participants feel seen and supported. ✅ Personalized — Reflect the individual Meal feedback is most effective when it reflects an individual’s goals, preferences, and real-life context. That means going beyond macros or calories — and asking open-ended questions that invite reflection and autonomy.

Verily

11mo

Can AI profoundly improve human health? The primary barrier to AI-driven innovation in healthcare is the inability to connect siloed, unstructured data that is organized on different standards, making it difficult for healthcare companies to model on the right data. The Verily platform harmonizes many healthcare datasets — from labs and EHR to unstructured physician notes, genomics and more, with the tools companies need to model and deploy insights into research and care.

Verily

11mo

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.

Verily

11mo

Hallucinations, outdated information, and accuracy issues are challenges to deploying Large Language Models (LLMs) in healthcare question-answering.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

Verily

11mo

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

Verily

11mo

🌟 A Brighter Way to Care 🌟 Watch the full Verily N of 1 episode to see how AI helps care feel more human.

Verily

11mo

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.

Verily

11mo

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

Verily

11mo

🦠 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.