NVIDIA Healthcare

Over 3,500 rural women were screened. 24 breast cancer cases caught early - 90% receiving their first mammogram ever. Thanks to AI-powered vans from MedCognetics and NVIDIA, life-saving diagnostics now reach India’s most remote villages. Technology is making hope mobile. 📖 https://nvda.ws/47YTZvs

In our recent article written together with NVIDIA, we explore how our collaboration is transforming the future of in-silico medical innovation through the integration of digital patient twins, AI-driven modeling, and GPU-accelerated simulation. Enabled by NVIDIA AI infrastructure, we’re developing scalable workflows that bring high-fidelity, physics-based simulations into every stage of medical device development — from concept and design to regulatory validation. By leveraging NVIDIA AI infrastructure and advanced visualization technologies, we enable the creation of anatomically accurate, data-driven digital twins representing diverse patient populations. These models empower engineers and clinicians to: ⭕ Simulate complex device–patient interactions under realistic physiological conditions ⭕ Run large-scale virtual trials with statistically significant cohorts ⭕ Accelerate development and improve clinical outcomes through rapid iteration ⭕ Strengthen regulatory submissions with robust in-silico evidence This collaboration marks an important step toward uniting AI, simulation, and cloud computing into a single ecosystem for safer, faster, and more cost-effective healthcare innovation. 🔗 Read the full article here: https://lnkd.in/dGzem9Si #medtech #digitalhealth #insilico #computermodeling #medicalsimulation

"Wonderful familiar faces, who are all gunning for the same purpose—to see a different future of healthcare together. We are honored as NVIDIA to be partnered up with you and help build that future together. GTC is our moment to celebrate so much of the wonderful work that you do." – Kimberly Powell, VP of Healthcare and Life Sciences Watch the full special address ▶️ https://nvda.ws/3M1rvd5 Key takeaways 🧵 below

At Prima Mente we are building our next set of biological foundation models to understand multimodal biology and to protect the brain from neurological disease. We have reached the point where we can build these models at scale because of the trust and support of our partners. Especially the teams at NVIDIA around Alexis Black Bjorlin, Yangqing Jia, and Kourosh Behnam. With NVIDIA DGX Cloud Lepton on Nebius Cloud, we trained Pleiades, the first foundation model built on the entire epigenome. Running on 256 H200 GPUs and trained on 1.9 trillion tokens of methylation data, it reveals biological patterns DNA alone can’t explain. Pleiades decodes brain signals with unprecedented accuracy, reconstructing DNA fragments with 83% precision, detecting Alzheimer’s and Parkinson’s with up to 0.97 accuracy, and identifying cell types 10x more precisely than existing tools. Excited to keep strengthening our partnership and driving new scientific breakthroughs together NVIDIA Healthcare and Nebius! If you are curious to learn more about our work and its applications, please reach out.

We just published a technical deep dive detailing our work integrating NVIDIA Clara Open Models into VolView, expanding what’s possible for browser-based clinical AI workflows. 👉 Read it here: https://lnkd.in/eRuBZGhH This work builds atop our demo at #nvidia GTC DC 2025, where we showcased how VolView integrates Clara’s open-source models to deliver segmentation, reasoning, and synthetic data generation capabilities inside a zero-install, browser-native platform. Why this matters: VolView enables clinicians, researchers, and developers to work with workstation-class visualization (2D/3D, volumetric, cinematic) entirely in the browser, with no client installation required, and no streaming infrastructure needed. The architecture decouples client rendering from backend AI services, allowing independent evolution of the viewer, models, and infrastructure. We integrated three key Clara model types: NV-Segment-CTMR: a 3D foundation segmentation model for volumetric labeling and downstream workflows. NV-Generate-CT/MR: synthetic CT/MR generation to support augmentation, education, and PHI-safe prototyping. NV-Reason-CXR-3B: a multimodal, clinically-aligned reasoning model enabling chat-style exploration of imaging studies. What you’ll find in the blog: A layered architecture overview: data sources → browser-viewer → communication layer → backend AI services. Descriptions of the model integration, how the UI streams segmentation results, how synthetic volumes are visualized, and how the reasoning model supports interactive workflows. Practical deployment guidance: how to launch the demo, integrate your own models via a lightweight service interface, pilot on a single GPU, scale as needed. If you’re working in medical imaging, AI, visualization, or clinical workflow innovation, we encourage you to explore the blog and then try out the demo repository at https://lnkd.in/efJyP7Rx And if you’d like to collaborate on custom workflows, model integration, or scaling strategies — let’s connect! Stephen Aylward Monty Zarrouk Michael Zephyr NVIDIA Healthcare #MedicalImaging #AI #OpenSource #Visualization #HealthcareAI #BrowserBased #NVIDIAClara #VolView #Kitware #ClinicalAI

Advanced genomics is revolutionizing diagnostics and precision medicine with AI-powered tools like NVIDIA Parabricks. ⚡️ Earlier, more accurate disease detection for timely interventions 🩺 Personalized, precise diagnoses and treatment plans ⏱️ Timely results for critical cases including cancer and rare diseases 🙌 Less uncertainty and anxiety compared to traditional slow testing 🌍 Innovative care delivered by leaders like Freenome, Guardant Health, Natera, and SOPHiA GENETICS Details ➡️ https://nvda.ws/4qIUhz8

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. https://veri.ly/47tRqS2 #AIInHealthcare #GPUs #DataScience #LifeSciences

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. Learn more: https://veri.ly/47MzAuA #AIInHealthcare #HealthInnovation #HealthTech #PrecisionHealth