To meet the need for personalized medicine, next-generation clinics, enhanced quality of care, and biomedical breakthroughs to treat disease, the healthcare industry has to embrace new computing capabilities. With NVIDIA, institutions can harness the power of AI and high-performance computing (HPC) to define the future of medicine.
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Amgen, Argonne National Laboratory, Flagship Pioneering, Terray, Weights & Biases, and dozens more organizations are advancing biomolecular science.
Pharmas, medical technology companies, and academic researchers are developing sovereign AI capabilities to power drug discovery, accelerated genomics, and medical devices.
Ottawa Hospital used Deloitte Digital Teammate, powered by NVIDIA AI, to deploy AI assistants that improve patient experiences and reduce administrative burden.
The new Nemotron-4-Hindi 4B NIM microservice is boosting generative AI applications for life sciences research, medical imaging, and drug discovery.
NVIDIA is expanding their collaboration with Microsoft to support global AI startups across industries—with an initial focus on healthcare and life sciences companies.
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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.
NVIDIA DGX™ Cloud on Oracle Cloud Infrastructure (OCI) is enabling Deloitte to accelerate drug discovery in their Quartz Atlas AI solution with generative AI.
Using NVIDIA DGX Cloud and BioNeMo, Amgen is training large language models (LLMs) on their proprietary data to predict protein properties and develop biologics with enhanced properties.
Using their 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
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.
Lung cancer cells. Anne Weston, Francis Crick Institute
TGen, a nonprofit genomics institute, used NVIDIA RAPIDS™ to reduce analysis time on 4 million-cell datasets from 10 hours to just three minutes.
TGen
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.
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—building blocks for creating and deploying cloud-native gen AI applications.
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 copilots 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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