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Healthcare requires new computing paradigms to address the need for personalized medicine, next-generation clinics, higher quality of care, and breakthroughs in biomedical research to treat disease. With NVIDIA, healthcare organizations can harness the power of artificial intelligence and high-performance computing (HPC) to define the future of medicine.
NVIDIA and Schrödinger collaborate to accelerate drug discovery worldwide
To enable the rapid evaluation of billions of molecules for potential therapeutics development, NVIDIA and Schrödinger are collaborating to strengthen Schrödinger's computational drug discovery platform with NVIDIA DGX SuperPOD™.
AI-powered natural language processing accelerates medical innovation
NVIDIA is collaborating with AstraZeneca and the University of Florida Health Center, UF Health, on new AI research projects that leverage NVIDIA's state-of-the-art Megatron framework and NVIDIA DGX SuperPOD™ to discover promising drugs faster.
The latest NVIDIA GPUs are available through all major cloud platforms worldwide. With simplified IT, compute power that can be increased or decreased as needed, and access to NGC™, a hub of GPU-optimized software for deep learning, machine learning, and HPC, organizations can focus on creating solutions, capturing information, and delivering business value.
Organizations and research institutions around the world use NVIDIA's scientific computing platform in the fight against - CHEST CT Ki models So you can improve diseases available in smart cameras. Temperature demonstrationsand supercomputers that can scan 1 billion connections in 12 hours in virtual drug demonstrations. Learn how data analytics, simulations, visualization, ki, and GPU processing play an important role in supporting research in the following games.
SOLUTIONS FOR HEALTHCARE WITH ACCELERATED COMPUTING
DRUG DEVELOPMENT
With accelerated computing, researchers can virtually model millions of molecules and screen hundreds of potential drugs simultaneously, reducing costs and shortening time to solution.
Using HPC to accelerate genomic analysis in population and cancer genomic studies can help identify rare diseases and bring tailored therapeutics to market faster, advancing the path to precision medicine.
AI-powered tools can be an additional set of "eyes" to help clinicians quickly read images, calculate measurements, monitor changes, and identify urgent findings to streamline workflows and improve patient care.
From smart sensors to medical instruments that support advanced imaging in real time, AI at the edge can deliver immediate insights, optimize patient care and realize the promise of smart hospitals.
Today's healthcare industry faces a whole new set of challenges. To meet them, healthcare workers, from physicians to researchers, need powerful, flexible computing tools that allow them to work from anywhere - whether they're in the hospital, in the field, or at home. Learn more about NVIDIA's remote solutions that can make that happen.
Built with NVIDIA A100 Tensor Core's NVIDIA DGX™ A100 GPUs provide unprecedented computing power to support new drug discovery, uncover genetic mutations to 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.
NVIDIA's Edge Solutions are designed to capture and compute continuous streams of data at the network edge. With advanced image, video, and signal processing, Ki embedded medical instruments can protect surgeons performing less invasive, more targeted surgeries, radiologists determining diagnoses, and sonographers performing faster, more accurate echocardiograms. With the NVIDIA EGX Platform, you can bring healthcare to the cutting edge.
The latest NVIDIA GPUs are available across all major cloud platforms worldwide. With simplified IT, compute power that can be increased or decreased as needed, and access to NGC™, a hub of GPU-optimized software for Deep Learning, Machine Learning, and HPC, organizations can focus on creating solutions, capturing information, and delivering business value.
NVIDIA Clara™ is a framework for medical applications for imaging, genomics, and the development and deployment of Intelligent Sensors and Ki enabled medical devices. It includes a full set of GPU-accelerated libraries, SDKs, and reference applications for developers, data scientists, and researchers to create real-time applications for secure and scalable solutions.
HEALTHCARE FROM DATA CENTERSTO " EDGE" TO THE CLOUD
POWERFUL COMPUTING FOR DATA CENTERS
With another $28 million in recent funding, Arterys will continue to expand its ecosystem of clinical application partners and solutions on your Ki, the Arterys Marketplace, bridging the gap between medical researchers and clinicians.
Ki's startup LUnit and its CE-marked solution, LUnit Insight CXR, use Ki to rapidly detect 10 different radiological findings on chest X-rays, including pneumonia, common in patients with CVivid and potentially cancerous lung nodules in seconds.
This website uses cookies, which are necessary for the technical operation of the website and are always set. Other cookies, which increase the usability of this website, serve for direct advertising or simplify interaction with other websites and social networks, will only be used with your consent.
