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Survey Report
Discover how AI is transforming healthcare with the latest trends, insights, and challenges in our new report.
NVIDIA is transforming the healthcare industry by driving personalized medicine, next-generation clinics, and groundbreaking biomedical innovations. Through our global ecosystem of partners, researchers, and developers, we empower institutions to harness AI and high-performance computing (HPC) to improve patient care, accelerate research, and unlock medical breakthroughs. Together, we’re redefining the future of healthcare with scalable solutions that meet evolving clinical and scientific challenges.
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News and Events
New NVIDIA Isaac for Healthcare medical device simulation platform to fast-track development of autonomous imaging systems and robotics.
Evo 2, a powerful new AI model built using NVIDIA DGX Cloud on Amazon Web Services (AWS), provides insights into DNA, RNA and proteins across diverse species.
Healthcare Segments
NVIDIA’s digital health solution is a comprehensive AI toolkit for developing applications that enhance clinician-patient interactions, streamline clinical documentation, and extract valuable insights from real-world data.
Hippocratic AI
With accelerated computing, researchers can virtually model millions of molecules and screen hundreds of potential drugs simultaneously, reducing costs and speeding time to solution.
Generate protein structures with predictive AI.
Guide generative AI protein structure design.
Deploy generative AI for virtual screening.
NVIDIA DGX™ Cloud on Oracle Cloud Infrastructure (OCI) is enabling Deloitte to accelerate drug discovery in its Quartz Atlas AI solution with generative AI.
Using NVIDIA DGX Cloud and BioNeMo™, Amgen is training large language models (LLMs) on its proprietary data to predict protein properties and develop biologics with enhanced properties.
Using its massive volumes of precise, experimental data, Terray Therapeutics is using NVIDIA DGX Cloud to train foundation models for chemistry and generative AI to design small molecules.
Using HPC to accelerate genome analysis in population and cancer studies can help identify rare diseases and bring tailored therapeutics to market faster, advancing the journey to precision medicine.
Bruker Spatial Biology
Anne Weston, Francis Crick Institute
The Crick team used NVIDIA® Parabricks® for TRACERx EVO, achieving a 26X speedup in whole-genome sequencing with no loss in quality, compared to CPU testing.
TGen
TGen, a nonprofit genomics institute, used NVIDIA RAPIDS™ to reduce analysis time on 4 million-cell datasets from 10 hours to just three minutes.
PacBio builds advanced sequencing solutions to help scientists and clinical researchers solve genetically complex problems across human germline sequencing, plant and animal sciences, infectious diseases, oncology, and other emerging applications.
AI-powered tools can help clinicians quickly detect and measure anomalies, provide surgeons with critical support and insights in the operating room, enhance image quality, and optimize workflows.
Atlas Medical
AI-enabled medical devices are giving healthcare professionals better decision-making tools to deliver care in robot-assisted surgery, interventional radiology, radiation therapy planning, and more.
Surgeons at University Hospital Bonn (UKB) are enhancing training using VR for thoracic surgery, allowing immersive 3D experiences with real patient data. Students report high engagement and retention.
AI-powered tools can help clinicians quickly read images, calculate measurements, monitor changes, and identify urgent findings to optimize workflows and enhance patient care.
Mount Sinai and East River Imaging
Neurosurgical Atlas
United Imaging Healthcare deployed NVIDIA AI and accelerated computing solutions in an AI-enabled magnetic resonance (MR) scanner to reduce patient time in MR machines while increasing access to MR procedures.
The University of Wisconsin-Madison uses NVIDIA DGX BasePOD™ with MONAI and NVIDIA FLARE™ to generate comprehensive datasets and rapidly iterate on AI models, bringing AI into clinical tools faster.
The Netherlands Cancer Institute used NVIDIA and VMware’s AI solution to deploy AI workloads on virtualized servers, improving performance, scalability, and efficiency.
DGX Spark brings the power of NVIDIA Grace Blackwell™ to developer desktops. The GB10 Superchip, combined with 128 GB of unified system memory, lets AI researchers, data scientists, and students work with AI models locally with up to 200 billion parameters.
NVIDIA Clara™ is a suite of AI-powered computing platforms designed specifically for healthcare and life sciences applications. It offers solutions across various domains, including medical imaging, genomics, drug discovery, medical devices, and digital health.
NVIDIA NIM inference microservices package AI models and reference workflows with industry-standard APIs—essential building blocks for developing and deploying cloud-native generative AI applications that drive medical innovation and patient care advancements.
NVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of production-grade co-pilots and other generative AI applications.
Partners
Our solutions for the healthcare industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products, and services.
Do you have questions? Contact a member of our NVIDIA healthcare and life sciences team.
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