Power Breakthroughs in Healthcare and Life Sciences

Advance medicine and research with AI.

Healthcare demands new computing paradigms to meet the need for personalized medicine, next-generation clinics, enhanced quality of care, and breakthroughs in biomedical research to treat disease. With NVIDIA, healthcare institutions can harness the power of artificial intelligence (AI) and high-performance computing (HPC) to define the future of medicine.

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BioNeMo Large Language Models
Credit: Mahendra awale, CC BY-SA 3.0, via Wikimedia Commons

NVIDIA Expands Large Language Models to Biology

NVIDIA BioNeMo is a framework and cloud service for training and deploying large biomolecular language models at supercomputing scale—helping scientists better understand disease and find therapies for patients. The large language model framework supports chemistry, protein, DNA, and RNA data formats.

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Board using large language models for drug discovery

NVIDIA Collaborates with Broad Institute on AI Workflows, Large Language Models

NVIDIA is partnering with the Broad Institute of MIT and Harvard to provide the Terra cloud platform and its over 25,000 users with the AI and acceleration tools needed to quickly analyze massive amounts of healthcare data, accelerate genome analysis, and build large language models for drug discovery.

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NVIDIA IGX for Medical Devices

NVIDIA Medical Edge AI Computing Platform Selected by Leading Robotic Surgery Startups

Activ Surgical, Moon Surgical, and Proximie will bring real-time AI to their surgery platforms using NVIDIA Clara™ Holoscan on NVIDIA IGX. The integration of Clara Holoscan and the IGX platform enables the rapid development of new, software-defined devices that bring the latest AI applications directly into the operating room.

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NVIDIA IGX Edge AI Computing

NVIDIA Launches IGX Edge AI Computing Platform for Safe, Secure Autonomous Systems

The IGX platform for high-precision edge AI brings advanced security and proactive safety to sensitive industries such as manufacturing, logistics and healthcare, which in the past required costly solutions custom built for specific use cases.

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The Developer Conference for the Era of AI and the Metaverse

Conference & Training September 19 - 22 | Keynote September 20

AI is creating new possibilities in healthcare. Advances in computational biology are accelerating every phase of drug discovery, a new generation of software-defined medical devices is enabling real-time sensing, smart hospitals are improving clinical experiences, and accelerated computing is unlocking the human genome for better precision medicine. Get the latest innovations across healthcare at GTC22.

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    The Rise of Transformer AI and Digital Twins in Healthcare
    • Kimberly Powell, Vice President of Healthcare, NVIDIA

    The healthcare industry is generating about one-third of the world’s data. Breakthroughs in AI, accelerated computing, and real-time sensing have created new opportunities for drug discovery and healthcare delivery. Transformer AI models are powering a new era of life sciences, helping researchers encode the structure and function of biology and chemistry, making sense of unstructured patient data, and improving detection and diagnosis in medical imaging.

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    Fireside Chat: Johnson & Johnson’s Hybrid Cloud Computing Strategy to Improve Patient Outcomes
    • Rima Alameddine, Vice President of Enterprise Sales, Healthcare, Life Sciences, and Manufacturing, Americas, NVIDIA
    • Rowena Yeo, Chief Technology Officer and Vice President, Johnson & Johnson
    • Hal Stern, Vice President and Head of Technology, Janssen R&D

    Driving health innovations to improve patient outcomes is at the center of Johnson & Johnson’s Janssen Pharmaceuticals mission. J&J is accelerating the discovery and development of novel therapies using a variety of large-scale computational methods. The rapid adoption of artificial intelligence and data science applied to the exceptional volume and richness of data generated in laboratories have made scientific computing an important tool in research and development. This demand has presented new opportunities for J&J’s shared IT services to support the needs of the organization in various areas, such as large language models in biology, digital pathology, computational chemistry, and digital surgery. We’ll discuss how this hybrid infrastructure enables J&J researchers to drive breakthroughs while using resources efficiently

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    Beyond Buzzwords—the Application of AI in the OR Today and Tomorrow
    • George Murgatroyd, General Manager and VP, Digital Surgery, Surgical Robotics, Medtronic
    • Kimberly Powell, Vice President of Healthcare, NVIDIA

    Artificial intelligence. Machine learning. Robotics and automation. Digital ecosystems. Big data and the cloud. These technologies have incredible potential to advance healthcare for patients around the world. But how are these digital technologies being deployed in today’s operating room, and what impact are they having?

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    New Frontiers in Brain Surgery: The Atlas/NVIDIA Collaboration as a Paradigm for Other Surgical Specialties
    • Aaron Cohen-Gadol, President, Neurosurgical Atlas

    We'll discuss the role of high-level computing and digital twins in transforming surgical subspecialties, specifically neurosurgery. The roles of image segmentation, surgical robotics, and navigation will be explored.

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Powering healthcare solutions with
accelerated computing.

Drug Discovery

With accelerated computing, researchers can virtually model millions of molecules and screen hundreds of potential drugs at a time, reducing costs and speeding time to solution.

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Genomics

Using HPC to accelerate genome analysis in population and cancer genomic studies can help identify rare diseases and bring tailored therapeutics to market faster, advancing the journey to precision medicine.

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Medical Devices

AI-powered tools can be an extra set of “eyes”, helping clinicians to quickly detect and measure anomalies, uplevel surgeons' skills, enhance image quality, and optimize workflows.

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Smart Hospitals

From smart sensors to advanced image processing, AI at the edge can deliver immediate insights, optimizing patient care and realizing the promise of smart hospitals.

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Cambridge-1: Accelerating Health Research

Cambridge-1 is the first supercomputer NVIDIA has dedicated to advancing digital biology, genomics, quantum computing, and AI research in the U.K., empowering leading U.K. scientists and researchers to collaborate on groundbreaking science.

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Discover trailblazing AI healthcare startups.

AI healthcare startups are vital to pushing the boundaries of health innovation. NVIDIA Inception nurtures over 1,800 healthcare startups developing cutting-edge, GPU-based tools to optimize operations, enhance diagnostics, and elevate patient care. Learn more about the groundbreaking technology being developed by healthcare startups.

Taking AI to Market

Taking AI to Market

With another $28 million in recent funding, Arterys will further develop their ecosystem of partners and clinical-grade AI solutions on their AI web platform, Arterys Marketplace, bridging the gap between medical researchers and clinicians.

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Startup’s Sensors Keep Hospitals Safe

Startup’s Sensors Keep Hospitals Safe

With 800 GPU-powered cameras deployed across Northwestern’s 10 hospitals, Artisight aids hospital staff in conducting remote thermal screenings, limiting staff exposure to COVID-19.

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AI Helps Triage Patients with COVID-19 Symptoms

AI Helps Triage Patients with COVID-19 Symptoms

AI startup Lunit and their CE-marked solution, Lunit INSIGHT CXR, uses AI to quickly detect 10 different radiological findings on chest X-rays, including pneumonia, often present in COVID-19 patients, and potentially cancerous lung nodules in seconds.

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Healthcare Computing from Data Center to Edge to Cloud

Powerful Computing for Data Centers

Powerful Computing for Data Centers

Built with NVIDIA A100 Tensor Core GPUs, NVIDIA DGX™ A100 delivers unprecedented compute performance to aid the discovery of new drugs, uncover genetic mutations to better fight disease, and drive healthcare innovation. Combined with access to experts and easy-to-deploy infrastructure, NVIDIA DGX A100 is the foundational building block in constructing AI data centers.

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Real-Time AI at the Edge

Real-Time AI at the Edge

NVIDIA’s edge solutions are designed to gather and compute continuous streams of data at the network’s edge. With advanced image, video, and signal processing, AI-embedded medical instruments can aid surgeons in performing less invasive, more targeted surgeries, radiologists in determining diagnoses, and sonographers in performing fast and accurate echocardiograms. Bring healthcare to the edge with the NVIDIA EGX platform.

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AI-Ready Hospital Data Center

AI-Ready Hospital Data Center

The AI Enterprise-Ready Platform from NVIDIA and VMware offers a full-stack architecture for today’s converging solutions. Built for resilience and scale, it provides a single platform for both core hospital applications and AI tools, helping deliver a better experience to clinicians and the patients they serve.

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On-Demand Cloud Computing

On-Demand Cloud Computing

The latest NVIDIA GPUs are available through all major cloud platforms worldwide. With simplified IT management, compute that can be increased or reduced as needed,  and access to NGC™, a hub of GPU-optimized software for deep learning, machine learning, and HPC, organizations can focus on building solutions, gathering insights, and delivering business value.

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