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The CNS Summit session “Perspectives on AI” sparked a dynamic discussion among leaders, including our Chief Medical & Scientific Officer Andrew Trister, MD PhD, Paul Ashley of Johnson & Johnson, Kushal Gohil of Parexel, Steve Rosenberg of uMotif, and Michelle Longmire M.D. of Medable, Inc. They explored various approaches to leveraging the opportunities presented by AI. Dr. Trister noted: “The ability to use AI to co-discover and help us reason over the large types and volumes of data that no human could realistically do will ultimately help us identify how we can truly improve disease trajectory and deliver meaningful healthcare.”
Health data is all around us – from sensor data during a walk to pathogen data in a flush of water, CGM data from a sugar spike, and EHR data from a doctor's visit. What if we could connect all this real-world data to better predict and prevent negative outcomes, and make care more precise? Verily Pre is the AI-native platform designed to do just that. Powered by Verily Intelligence, Pre provides the building blocks of healthcare AI: ✨ Harmonizing health data: Standardizing diverse, multimodal data on a clinical standard. ✨ Developing and evaluating AI models: Securely building and validating AI models. ✨ Deploying safely: Integrating AI solutions into healthcare settings and workflows.
What if you could move beyond static, fragmented real-word data (RWD) and have an ongoing conversation with research participants? Join us for a webinar on Nov 18th to learn how Viewpoint Evidence transforms research into a dynamic dialogue with direct connections to engaged, re-contactable individuals.
Large language models (LLMs) often struggle to identify and appropriately respond to psychiatric emergencies, providing unhelpful or even harmful advice that has resulted in the facilitation of suicide, self-harm, violence, and eating disordered behaviors. Our new study with Harvard Medical School and Beth Israel Deaconess Medical Center introduces the Verily Behavioral Health Safety Filter (VBHSF), a step forward in AI safety for mental health. The VBHSF detects mental health crises in text communications and categorizes them into specific categories of crisis. Our team evaluated the VBHSF on two independent datasets and benchmarked its performance against two state-of-the-art open source general purpose guardrails to test robustness and generalizability. The VBHSF showed strong, well-balanced performance in detecting mental health crises (high sensitivity of 0.990 and specificity of 0.992) and in identifying specific crisis categories (F1-score of 0.939), which largely generalized to an external dataset. It also outperformed open-source content moderation guardrails on sensitivity. The VBHSF demonstrates robust and generalizable performance, prioritizing sensitivity to minimize missed crises – a critical feature for healthcare applications. This research underscores our commitment to developing safe and effective AI for behavioral health.
Another eventful week for Verily! → At #NVIDIAGTC DC we announced our collaboration with NVIDIA to speed the development of AI agents and models across research and care. → Our CEO Stephen Gillett shared the stage with Trent Norris of NVIDIA, Stephanie Carlton of the Centers for Medicare & Medicaid Services, Kent Thielen, M.D. of the Mayo Clinic, and Shiv (Shivdev) Rao of Abridge, giving his perspective about AI, health tech, and building trust: “As we look at the interaction of AI and healthcare, we're in the early days of an extraordinary transformational opportunity, not just for chatbots and different components that we're using today, but for unimaginable productivity and efficiency across the industry.” “If you’re going to do health care and health tech, you have to be innovative and you have to have trust and security. You have to make the proper investments in these, not just from a capital and technical perspective but from a cultural one.” → Verily Workbench now offers additional apps and scalable hardware, including a suite of NVIDIA tools and enhanced support for the latest NVIDIA GPUs (H100, H200, B200 Blackwell).
Join Verily’s Chief Clinical Officer Vindell Washington at the Milken Institute Future of Health Summit next week as he and fellow industry innovators explore cutting-edge technologies transforming healthcare. You’ll hear insights on the latest AI-driven advancements and the policy and investment shifts needed for scalable and equitable adoption. Speakers include: - Moderator Peter Sullivan of Axios - Matthew Callstrom of the Mayo Clinic - Ivan Tornos of Zimmer Biomet - Renee Wegrzyn of transfyr.ai The panel, scheduled for November 6 at 12:00pm EST, will be live streamed.
Andrew Trister, MD PhD, Verily Chief Medical & Scientific Officer, will be speaking on the main stage at CNS Summit next week. Joined by Paul Ashley of Johnson & Johnson, Kushal Gohil of Parexel, Steve Rosenberg of uMotif, and Michelle Longmire M.D. of Medable, Inc, they’ll share insights and diverse perspectives on using AI to advance clinical research. 🗓️ Wednesday, November 5 at 10:00am ET 📍 Boston, MA
Just announced! Verily Workbench now offers additional apps and scalable hardware, including a suite of NVIDIA tools and enhanced support for the latest NVIDIA GPUs (H100, H200, B200 Blackwell). This integration accelerates genomic analysis, data science workflows, and large language model (LLM) training, enabling researchers to accelerate analyses and undertake projects at a much larger scale. Researchers can now access pre-configured cloud apps with these tools, making advanced computational analysis more accessible than ever. Discover how Verily Workbench provides a secure and compliant environment to leverage NVIDIA capabilities and research datasets like the NIH All of Us Research Program.
Today, Verily announced a collaboration with NVIDIA to speed the development of AI agents and models across research and care. NVIDIA’s AI tech stack will be integrated across Verily’s Pre platform, which is used by health system, life science, payer, and government customers and partners to more efficiently develop and deploy AI across healthcare. "Integrating NVIDIA's accelerated infrastructure and software stack into Verily's Pre platform will empower researchers to unlock new insights and drive faster development of AI models — ultimately leading to more personalized medicine and earlier disease prediction," said Trent Norris, Global Industry Leader for Digital Health at NVIDIA.
Recently, we announced the launch of Verily Me, our new consumer health app powered by Verily Pre, our AI-native platform for precision health. The app was born from a clear need to receive personalized health recommendations based on your health history and see a more complete picture of your health. Building this complex, data-intensive application could only be done with a platform-first approach, allowing us to innovate with speed and quality. Get an in-depth look into the making of Verily Me.
